Details of a Researcher - Matsukawa Hiroaki

Papers - Matsukawa Hiroaki

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A Research on Visualization System for Agricultural Product Supply Chain

JIN Guixiang, NAKATSUKA Akihiro, MATSUKAWA Hiroaki

Innovation and Supply Chain Management (Japan Management Training Center) 17 ( 3 ) 131 - 137 2023.09

ISSN 21870969

Freshness of agricultural products is very important for health of customers and profit of farmers. In this paper,we deal with vegetable supply chain including production activities such as planting, mowing, fertilization, harvesting and distribution activities such as transportation from farm to distribution center, distribution center to retailer, restaurants,and consumers. There are hundreds of tons waste throughout the supply chain including consumption every year, and it becomes big social problem in Japan. In this paper, aiming to reduce waste of vegetables and other fresh agricultural products, we develop a visualization system of vegetables where those production activities are recorded using sensing technology, and demonstrated to buyers ahead of bidding in the distribution center. Since those production activities were carried out according to GAP (good agricultural practices) standards, buyers may correctly determine quality of the agricultural product ahead of harvest and put there bidding price before harvest. This is an assumption in this paper, which means that agricultural product could be harvested after demand is determined, or the harvesting activities performed for the fixed order, i.e., harvest to order (HTO). Through POC (proof of concept) of the system, we found that the visualization system can contribute to reduction of waste more than 15% same time it can generate GAP report automatically whenever it necessary according to the recorded data.

Research on Product Platform Configuration with Module Options

WANG Ting, JIN Guixiang, MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association (Japan Industrial Management Association) 73 ( 2E ) 92 - 103 2022.07

ISSN 13422618

Platform-based product development has been regarded as a cost-efficient approach to handle wide product variety. The key to successful platform-based product development is finding the best combination of the platform configuration and modular design. Most research papers have focused on product platform configuration with a given module set without considering operation costs including the design cost, procurement costs and inventory costs. A new model is proposed in order to determine the optimal product platform configuration for a given external product family considering the vertical and horizontal selection of a module with multiple options and operation costs. The demand for the external product family is unknown, and normal distribution has been assumed. The module acquisition lead time varies along with the module acquisition amount and the transportation time. A hybrid methodology combining a simulated annealing and VNS (variable neighborhood search) is proposed and applied to solve the proposed model. Numerical examination was carried out for the purpose of evaluation. The results show that the proposed model can provide an optimal solution. This research makes two main contributions: the vertical and horizontal selection process of module options and the consideration of operation cost of module acquisition in product platform configuration.

Product platform configuration decision in NPD with uncertain demands and module options

Wang T., Wang J., Jin G., Matsukawa H.

International Journal of Production Research (International Journal of Production Research) 61 ( 19 ) 6336 - 6355 2022

ISSN 00207543

Platform-based product development is a cost-efficient approach to satisfy wide range of customer preferences. One important problem is the product platform configuration, in which two types of platform configuration are widely used, either module selection or module integration. The platform configuration based on module selection provides a broader solution space of platform selection, while module integration facilitates product platform commonality to gain economic benefits. Up to date, most research focused on the platform configuration based on module selection with a given module set. In this paper, we propose a new model to determine the optimal platform configuration for an external product family, considering both module selection and integration. The demand for the external product family is uncertain and assumed to follow normal distribution. A hybrid methodology combining simulated annealing and variable neighbourhood search is proposed. A numerical examination is carried out for the purpose of evaluation. The results show that the proposed model can provide a practically good solution. Main contributions of this research are two folds, one is the balance point between module selection and module integration in the platform configuration and the other is that we take into account the operation cost of module acquisition to the platform configuration problem.

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Integrating optimal configuration of product platform and supplier selection in mass customization

WANG Ting, WANG Jian, MATSUKAWA Hiroaki

Journal of Advanced Mechanical Design, Systems, and Manufacturing (The Japan Society of Mechanical Engineers) 16 ( 5 ) JAMDSM0060 - JAMDSM0060 2022

ISSN 1881-3054

Platform-based Product Development (PPD) approach is an effective way to achieve mass customization. The product platform configuration in PPD is to determine the number and composition of platforms for a product family. Different types of design strategy have often been found to satisfy product requirements, i.e., the matching-designed with higher platform development cost and lower customization cost, the over-designed or under-designed platforms with different performance in these two types of cost. Traditional research balances the cost trade-off within the design domain, and few studies include the procurement cost from suppliers. Involving the supplier selection requirements into product platform configuration was examined in this study with focus on module-based platforms. The proposed model contains development cost, sourcing cost, and customization cost, under given product architecture and given number of modules and associated options. We developed a solving algorithm applying the linearization method with Gurobi solver to solve the proposed nonlinear MIP (mixed integer programming) model. Numerical experiments are carried out and sensitivity analyses are performed to justify the proposed model. The results show that the optimal combination of suppliers and the optimal number of platforms depends on the given parameters, such as various cost parameters included in the model, product demand and lifetime. Sensitivity analyses show that the optimal number of product platforms will decrease as the development cost increases, while the number of platforms increases as the customization cost increases. The over-designed platform is more prevalent in the presence of high development cost and high customization cost. In contrast, the matching-designed platform is more suitable for low development cost and high customization cost.

A Research on Two-Stage Production Line Building Problems for Processed Cheese Manufacturing

MATSUMOTO Takao, KUBODERA Shizuka, SHIDA Keisuke, MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association (Japan Industrial Management Association) 72 ( 1 ) 65 - 74 2021

Joint Work, ISSN 13422618

Production line design is one of the important research topics for constructing smart factories. Many research papers have been published concerning smart factories; however, most of them are focus on subjects such as automation, IoT (Internet of Things), AI (Artificial Intelligence) and other new technologies that are introduced to increase the eﬃciency of existing manufacturing lines based on the so-called philosophy of " status-quo improvement ". In this research, we consider a design problem for a new production line taking into consideration investment cost, operation cost, synchronization penalty and ﬂexibility penalty. We emphasize synchronization and ﬂexibility as new key performance indices to evaluate the level of intelligenced to the smart factory, in which a multiple number of equipment in two production processes can provide the proper number of combinations to satisfy the external demand remove. Based on a real case involving a major player in the dairy product processing industry in Japan, we focus on two core production processes in a processed cheese manufacturing line; melting process and filling process. We design the process to include investing in a multiple number of machines with diﬀerent capacities, while minimizing the total cost giving consideration to investment, operations, synchronization and ﬂexibility. Two types of decision variables are introduced representing investment and operation. Through numerical experiments and the case study, we show that the proper number of equipment and capacity can be obtained applying the proposed model. The proposed model can also be applied to those companies considering further investment in factory or production line.

Commitment Option Contract Selection

TRABELSI Abir, MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association (Japan Industrial Management Association) 72 ( 4 E ) 245 - 258 2021

Accepted, ISSN 13422618

This paper considers an option contract in a two-stage two suppliers - one buyer supply chain (SC) when market demand is stochastic. The suppliers compete by offering a commitment option contract to the buyer. The con- tract is composed of three prices. It allows the buyer to purchase a firm quantity and reserve options before knowing the exact market demand. After realizing the exact demand, the buyer can choose the number of options to exercise. The aim of this paper is to determine an optimal ordering and selection strategy for the buyer. It also determines an optimal bidding strategy for the suppliers. Furthermore, this contract will be compared to a pure option contract. These contracts are justified through numerical examination, and it was found that buyers prefer the lower-cost products as as to satisfy the demand with a higher realization probability. Furthermore, it was found that in equilibrium, local suppliers earn profit from the exercised options, whereas overseas suppliers earn profit from the reserved options. The paper also shows that the commitment option price provides suppliers with a greater profit in comparison to a pure option contract under the same conditions.

Pricing supply chain option contracts: a bilevel programming approach

Trabelsi A, Matsukawa H

Journal of Modelling in Management (Journal of Modelling in Management) 15 ( 4 ) 1567 - 1589 2020.11

Joint Work, ISSN 17465664

Purpose: This paper considers an option contract in a two-stage supplier-retailer supply chain (SC) when market demand is stochastic. The problem is a Stackelberg game with the supplier as a leader. This research assumes demand information sharing. The purpose of this study is to determine the optimal pricing strategy of the supplier along with the optimal order strategy of the retailer in three option contract cases. Design/methodology/approach: The paper model the option contract pricing problem as a bilevel problem. The problem is then solved using bilevel programing methods. After computing, the generated outcomes are compared to a benchmark (wholesale price contract) to evaluate the contract. Findings: The results reveal that only one of the contract cases can arbitrarily allocate the SC profit. In both other cases, the Stackelberg supplier manages to earn the total SC profit. Further analysis of the first contract, show that from the supplier’s perspective, the first stage forecast inaccuracy is beneficial, whereas the demand uncertainty in the second stage is detrimental. This contracting strategy guarantees both players better outcomes compared to the wholesale price contract. Originality/value: To the best of the authors’ knowledge, this research is the first that links the option contract literature to the bilevel programing literature. It also the first to solve the pricing problem of the commitment option contract with demand update where the retailer exercises the option before knowing the exact demand.

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Editorial: Industry 4.0 and Production Economics

Matsukawa H., Minner S., Nakashima K.

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 226 2020.08

ISSN 0925-5273

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The SURUGA Gateway: An Advanced CPS Equipping Smart Factory

JIN Guixiang, NAKATSUKA Akihiro, MATSUKAWA Hiroaki

Innovation and Supply Chain Management (特定非営利活動法人日本マネージメント研修センター) 13 ( 2 ) 21 2019

Joint Work, ISSN 2187-0969

Cyber-physical system (CPS) is one core concept of Industry 4.0. A cyber space has mirror information of physical space and activities in the physical space are synchronized with activities in cyber space. SURUGA Gateway is a CPS, running in a Japanese robot component producer. Innovation process(design) and operation (manufacturing) process is integrated together on the SURUGA Gateway, enabling high quality, short leadtime, low cost, and high ?exibility. Various decisions were made in the cyber space, then executed in physical space automatically. Materials input to manufacturing process according to production plan which created by modi?ed ERP (enterprise resource planning) system, fabricated according to optimized routing and scheduling. All NC (numerical control) machines and MC (machining center) were connected and integrated on a centralized platform using Ethercat protocol and interface, and serial electronic signal control for old machines. The KAMISHIBAI (VPS: virtual production system) is embedded in the SURUGA Gateway,providing online training to assembly operators. Innovation process drives operation process, while know-how to improve efficiency and quality in operation process is feedback to the innovation process. The integration of innovation process and operation process, speci?cally the integration of design, material ?ow, machine ?ow and human resource is most successful point of the SURUGA Gateway. SURUGA Gateway successfully reduced leadtime by 80% and recognized as best practice in Hannover Messe and G20 business conference.

A Research on Robust Safety Stock Allocation Model to Deal with Uncertain Leadtime In an Acyclic Supply Network

BEIRAN Pablo, JIN Guixiang, MATSUKAWA Hiroaki

Innovation and Supply Chain Management (特定非営利活動法人日本マネージメント研修センター) 12 ( 1 ) 1 - 6 2018

Joint Work, ISSN 2187-0969

Safety stock allocation problems including uncertainty in the supply-side have forced to assume a speci?c distribution of the lead time yet this is usually not reliable. From a guaranteed-service approach, a new model based on robust optimization in which no distribution is assumed is proposed. The robust model is a mixed-integer linear program. Then, the model is validated and applied to several complex real-case supply chains. Preliminary results are promising and show how the model could be a powerful tool for practitioners to manage risks from the supply-side in a robust yet efficient way.

A Study on Demand Forecasting Using a Collective Intelligence Mechanism

NAKATSUKA Akihiro, MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association (Japan Industrial Management Association) 69 ( 3 ) 143 - 152 2018

Joint Work, ISSN 13422618

Traditional demand forecasting methods are categorized as scientific methods (e.g., time series analysis or regression analysis) or methods based on experience and tacit knowledge (e.g., delphi method or market research). Recently, research that combines these forecasting methods has become a hot topic and categorized as a demand forecasting method based on the prediction market. It is known that the prediction market was able to accurately forecast the vote ratio for the US presidential election. In the field of supply chain management, the research is applied to forecast the future demand of products. In this study, we propose a demand forecasting method that uses a voting system based on a collective intelligence mechanism. We examine forecasting accuracy using real business data from a five-month period. According to statistical tests, we show that the forecasting method we propose performs more accurately than the existing method used in our company.

A Study on the Forecasting Method Based on Extreme Value Distribution for Sudden and Large Demand

NAKATSUKA Akihiro, INADA Shuhei, MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association (Japan Industrial Management Association) 69 ( 3 ) 153 - 161 2018

Joint Work, ISSN 13422618

In the printer manufacturing industry, it is known that business impact is especially large because of the due date penalty or opportunity loss (including sales loss of toner cartridge and drum cartridge) when an inventory shortage occurs. Furthermore, in this industry, due to occurrence of sudden and large demand, it is not clear how to analyze demand distribution from historical sales data and how much inventory should be kept. We reviewed various literature regarding the demand forecasting method for sudden and large demand, but we were unable to find a proper method, and therefore decided to develop a new method ourselves. In this research, we propose a new demand forecasting method based on extreme value distribution. In the method proposed, we first classify historical sales data, then we estimate the parameters of the extreme value distribution, and finally forecast future demand. Additionally, we tested our method using real business data. As a result, we found that the method proposed performs better than the current method being used by businesses and can avoid inventory shortages when sudden and large demand occurs.

Pablo Beiran, Maria Pilar Martin-Romero and Hiroaki Matsukawa

Proceedings of International Symposium on Scheduling 2017 16 - 21 2017.06

Research paper (international conference proceedings), Accepted

A Research on Optimal Option Price in Supply Contract

黄立群, 清水友也, 松川弘明

日本経営工学会論文誌 (日本経営工学会) 68 ( 1 ) 23 - 32 2017.04

Research paper (scientific journal), Accepted, ISSN 1342-2618

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Work in Process Analysis of an Inventory Production System Using Control Engineering Approach

Mohammadreza Parsanejad and MATSUKAWA Hiroaki

Journal of Japan Industrial Management Association 67 ( 2E ) 106 - 113 2016.06

Accepted

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サプライチェーン見える化システムの構築とその有効性の検証

MATSUKAWA Hiroaki

日本経営工学会論文誌 67 ( 2 ) 73 - 82 2016.06

Joint Work, Accepted

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A Research on Optimal Option Prices in a Supply Contract

MATSUKAWA Hiroaki

19th International Working Seminar on Production Economics 415 - 426 2016.02

Research paper (international conference proceedings), Accepted

An Analysis on Dual Sourcing Strategy Considering Supply Chain Disruption Risk

MATSUKAWA Hiroaki

Proceedings of the 3rd International Workshop on Production and Logistics 2015.10

Supply Chain Visualized System and Its Validation Analysis

MATSUKAWA Hiroaki

Proceedings of the 3rd International Workshop on Production and Logistics 2015.10

Research paper (international conference proceedings)

On the Safety Stock Calculation for Mitigating Supply Chain Disruption Risk

MATSUKAWA Hiroaki

Proceedings of the 3rd International Workshop on Production and Logistics 2015.10

Research paper (international conference proceedings)

Approach and case study to reduce inconsistency for risk evaluation inside the failure mode and effect analysis (FMEA) method

MATSUKAWA Hiroaki

Asian Conference on Management Science and Application 2015 2015.09

Research paper (international conference proceedings), Accepted

An Experimental Research on Supply Chain Visualization System

MATSUKAWA Hiroaki

Asian Conference on Management Science and Application 2015 2015.09

Research paper (international conference proceedings), Accepted

Decision of supply capacity considering supply chain disruption

MATSUKAWA Hiroaki

Asian Conference on Management Science and Application 2015 2015.09

Accepted

Optimize global supply chain configuration considering transfer pricing

MATSUKAWA Hiroaki

Asian Conference on Management Science and Application 2015 2015.09

Research paper (international conference proceedings), Accepted

テキストマイニングによるレジリエンス構造モデルに関する研究

MATSUKAWA Hiroaki

日本経営工学会論文誌 (日本学会誌刊行センター) 66 ( 2 ) 67 - 74 2015.08

Accepted

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A Review and Classification on the Supply Chain Risk Management

MATSUKAWA Hiroaki

Information (International Institute of Informatioin) 18 ( 6 ) 2259 - 2274 2015.06

Research paper (scientific journal), Accepted, ISSN 1343-4500

The Effect of Work in Process Information on the Dynamic Performance of an Integrated Inventory-Production System

Mohammadreza Parsanejad Hiroaki Matsukawa, Ebrahim Teimoury and Bongsung Chu

Information (International Information Institute) 18 ( 3 ) 977 - 986 2015.03

Research paper (scientific journal), Joint Work, Accepted, ISSN 1343-4500

Optimizing Supply Chain Configuration Considering Supply Disruption

Ruiqing XIA, Tang LIU and Hiroaki MATSUKAWA

Innovation and supply chain management (ISCM Forum) 8 ( 3 ) 121 - 133 2014.09

Research paper (scientific journal), Accepted, ISSN 2187-0969

The purpose of this paper is to investigate a supplier-retailer supply chain that experiences disruptions in supplier during the planning horizon. There are multiple options to supply a raw material, to manufacture or assemble the product, and to transport the product to the customer. While determine what suppliers, parts, processes, and transportation modes to select at each stage in the supply chain, options disruption must be considered. In this paper, we show that changes to the original plan induced by a disruption may impose considerable deviation costs throughout the system. When the production plan and the supply chain coordination scheme are designed in a static manner, as is most often the case, both will have to be adjusted under a disruption scenario. Using dynamic policies, we derive conditions under which the supply chain can be coordinated so that the maximum potential profit is realized.

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An Optimal Closed-loop Supply Chain Scheduling with Reverse Flow of Repackaging Material

Jose D, and Hiroaki MATSUKAWA

Innovation and supply chain management (ISCM Forum) 8 ( 3 ) 99 - 113 2014.09

Research paper (scientific journal), Joint Work, Accepted, ISSN 2187-0969

In this paper we deal with a model for optimizing the costs of an integrated production, distribution and package reprocessing problem. As a contribution to integrated production and distribution model, a reverse material Žow of returnable packages material (RPM) Žow and a retreating process of the RPM are incorporated into the model and extended to a closed-loop supply chain. A linear programming mathematical model is constructed for the beverage industry, although the model could also be applied to other industry that includes a RPM feedback Žow. The optimization model provides a number of decision variables such as production quantity and time, RPM ratio, production line allocation transportation routing, RPM retreating scheduling. The proposed model allows to introduce and change multiple parameters in each of the different parts of the closed loop supply chain. Finally, a numerical example involving a bottling industry of standardized packaging is solved utilizing the optimization software Gurobi, and a minimal cost solution is presented.

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A Contingency Model of Manufacturing Strategy Based on Advanced Manufacturing Paradigms: an Empirical Study

Jian Wang, Nicholas Makayi, Hiroaki Matsukawa(De-bi Ca

Industrial Engineering Journal (Industrial Engineering Association of China) 17 ( 1 ) 55 - 79 2014.02

Accepted, ISSN 1007-7375

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A Circles Model to Measure and Predict Project Success

Mohammadreza PARSANEJAD, Hiroaki MATSUKAWA and Tomoichi SATO

Innovation and supply chain management (ISCM Forum) 7 ( 2 ) 66 - 74 2013.06

Accepted, ISSN 21870969

Measuring project success is a challenging issue among researchers and practitioners, because of its multidimensional properties. During the last three decades, numerous researchers have tried to define and illustrate its dimensions. But still there is no general agreement about it. To measure and predict success of a project, we need to take into account all project stages including utilization stage of the product of a project in an integrated approach. In this paper we try to introduce a novel model to measure project success considering selection, execution and utilization stages. The model is based on the deviations from the goal of each stages. And the amount of success in this model which we call the "Circles Model", is the magnitude of proximity to the final goal. We apply it to an example and measure its success quantitatively. Lastly we discuss four extensible directions for future studies to apply the model on high performance projects, multi stakeholders space, program and portfolio domain and finally to explore the inŽuence of the performance of each stage on the performance of the next stages.

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A Comparative Framework for Measuring Project Success

Mohammadreza PARSANEJAD, Hiroaki MATSUKAWA, and Ebrahim TEIMOURY

Innovation and supply chain management (ISCM Forum) 7 ( 1 ) 6 - 18 2013.03

Accepted, ISSN 2187-0969

Project success is a vague concept among researchers and practitioners. Many researchers have tried to explain when a project could be called successful, but there is no agreement. The reason is existence of different stakeholders and viewpoints in a project. In this article we aim to make a comparative framework to compare different viewpoints and discover intersections and variances in the concept of project success to decrease these diversities. We review 173 selected papers and make an integrated framework containing nine different viewpoints that could be used as a raw dataset to explore trends in the literature and hidden aspects of project success. Analyzing statistics of this framework we found that: 1) Although the focus on stakeholders satisfaction are increasing but still cost, time and quality is dominating success criteria for evaluating project success. And also we categorized nine success criteria to three levels of priority i.e. high, medium and low priority, based on the frequency of appearance in the papers. Then we found some corelationships between nine groups of criteria using Association Rules method. 2) During 80s most papers deal with cost,time and quality (project management success), and in 90s it expanded to customer satisfaction (product success), then currently, it expanded to multiple project evaluation (program success). We also found that there are still some forgotten parts of project success and we argue that one of the most important hidden aspects is "Project Selection Success". It should be considered because it defines project success at its origin. Furthermore its inŽuence on the project management and total project success is not clearly defined in the literature.

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Project Price Modeling by Optimal Fixed Price Incentive Contract

MATSUKAWA Hiroaki

Innovation and Supply Chain Management (ISCM Forum) 6 ( 4 ) 165-171 2012.12

Research paper (scientific journal), Joint Work, ISSN 2187-0969

Supply Chain Risk Analysis: Exploring Physical Distribution Vulnerabilities

MATSUKAWA Hiroaki

Innovation and Supply Chain Management (ISCM Forum) 6 ( 3 ) 118-132 2012.09

Research paper (scientific journal), Joint Work, Accepted, ISSN 2187-0969

Strategic IT Equipment Replacement Considering EOS and Risk of Failure

MATSUKAWA Hiroaki

Information (International Information Institute) 15 ( 2 ) 507-516 2012.02

Research paper (scientific journal), Joint Work, Accepted, ISSN 1343-4500

Supply chain risk driver extraction using text mining technique

MATSUKAWA Hiroaki

Information (International Information Institute) 14 ( 6 ) 1935-1945 2011.06

Research paper (scientific journal), Joint Work, ISSN 1343-4500

Dynamic Cubic Neural Network with Demand Momentum for New Product Sales Forecasting

CAO DE-BI

Information 14 ( 4 ) 1171-1182 2011.04

Research paper (scientific journal), Joint Work, Accepted

An Analysis on Price Convergence of a Prediction Market

CAO DE-BI

Information 14 ( 1 ) 103-114 2011.01

Research paper (scientific journal), Joint Work

Stochastic Comparisions in Revenue Management under a Discrete Choice Model of Consumer Behavior

CAO DE-BI

Journal of the Operations Research Society of Japan 53 ( 3 ) 103-114 2010.08

Research paper (scientific journal), Joint Work

サプライチェーンリスクマネジメント

CAO DE-BI

経営システム 19 ( 6 ) 237-243 2010.02

Research paper (scientific journal), Single Work

RFID投資効果と普及における問題について

CAO DE-BI

生産管理 16 ( 2 ) 15-23 2010

Research paper (scientific journal), Joint Work

A criterion of production model selection for building material with delivery delay

CAO DE-BI

International Journal of Production Research 48 ( 12 ) 3429-3443 2010

Research paper (scientific journal), Joint Work

トレーサビリティとRFID

CAO DE-BI

工場管理 55 ( 5 ) 106-111 2009

Research paper (scientific journal), Joint Work

Relationship between two approaches for planning manufacturing strategy: A strategic approach and a paradigmatic approach.

CAO DE-BI

International Journal of Production Economics 115 ( 2 ) 349-361 2008

Research paper (scientific journal), Joint Work

オプション手法を用いた供給契約問題に関する研究

CAO DE-BI

日本経営工学会論文誌 58 ( 5 ) 376-382 2007

Research paper (scientific journal), Joint Work

Supply Contract with Bi-directional Option: the Buyer’s Perspective

Wang Qunzhi and De-bi Tsao

International Journal of Production Economics 101 ( 1 ) 30-52 2006.05

Research paper (scientific journal), Joint Work, Accepted

On the evaluation to the downstream information sharing

Zhong Lin and De-bi Cao

Journal of Japan Industrial Management Association 56 ( 6 ) 413-420 2006.02

Research paper (scientific journal), Joint Work, Accepted

A Flexible Contract Strategy in a Supply Chain with an Inflexible Production Mode

Qunzhi Wang, Ou Tang, and De-bi Tsao

International Journal of Operational Research 1 ( 3 ) 228-248 2006

Research paper (scientific journal), Joint Work, Accepted

Linking Manufacturing Systems to Manufacturing Strategy in a Changing Environment

Wang Jian, De-bi Tsao and Shihua Ma

International Journal of Innovation and Technology Management 1 ( 4 ) 415-434 2005.12

Research paper (scientific journal), Joint Work, Accepted

Managing Complexity in Manufacturing: Relationships among Four Common Approaches

De-bi Cao, J. Wang and Linyan Sun

Journal of Japan Industrial Management Association 56 ( 2 ) 229-236 2005.10

Research paper (scientific journal), Joint Work, Accepted

Adaptive Multi-Criteria Search Technique for Resource-Constrained Project Scheduling Problems

Ahsan M. K. and De-bi Tsao

International Journal of Industrial Engineering 12 ( 3 ) 286-295 2005.09

Research paper (scientific journal), Joint Work, Accepted

An Integrated Model of the Periodic Delivery Problems for Vending-machine Supply Chains

Rusdiansyah Ahmad and De-bi Tsao

Journal of Food Engineering 70 ( 3 ) 421-434 2005.09

Research paper (scientific journal), Joint Work, Accepted

A Dynamic Allocation Heuristic for Centralized Safety Stock

De-bi Cao and Edward A. Silver

Naval Research Logistic 52 ( 6 ) 513-526 2005.06

Research paper (scientific journal), Single Work

SCMロジスティクススコアカードによる日中企業間比較

TSAO DE-BI

日本物流学会誌 ( 13 ) 67-74 2005.05

Research paper (scientific journal), Joint Work, Accepted

需要が安定している多期間在庫配送計画に関する研究

TSAO DE-BI

日本経営工学会誌 56 ( 1 ) 12-18 2005.04

Research paper (scientific journal), Joint Work, Accepted

Coordinating Deliveries and Inventories for a Supply Chain under Vendor Managed Inventory System

Rusdiansyah A. and De-bi Cao

Journal of Japan Society of Mechanical Engineering Series C 48 ( 2 ) 85-90 2005.04

Research paper (scientific journal), Joint Work, Accepted

A Configuration Study on the Relationships between Production Systems and Business Strategy in the Changing Environment

Wang Jian and De-bi Tsao

International Journal of Manufacturing Technology Management 7 ( 1 ) 20-40 2005.02

Research paper (scientific journal), Joint Work, Accepted

Purchase Contract Management for Fashion Products

Wang Qunzhi and De-bi Tsao

Journal of Electronic Science and Technology 2 ( 3 ) 200-204 2004.09

Research paper (scientific journal), Joint Work

複合評価基準に基づいた資源制約付きプロジェクトスケジューリング問題の解法に関する研究

TSAO DE-BI

日本経営工学会誌 54 ( 5 ) 326-332 2003.12

Research paper (scientific journal), Joint Work, Accepted

複合評価基準に基づいた資源制約付きプロジェクトスケジューリング問題の解法に関する研究

TSAO DE-BI

日本経営工学会誌 54 ( 5 ) 326-332 2003.12

Research paper (scientific journal), Single Work

A Heuristic Search Algorithm for Solving Resource-constrained Project Scheduling Problem

Ahsan M. K. and De-bi Tsao

Asian-Pacific Journal of Operational Research 20 ( 2 ) 143-160 2003.11

Research paper (scientific journal), Joint Work, Accepted

A Heuristic Search Algorithm for Solving Resource-constrained Project Scheduling Problem

Ahsan M. K. and De-bi Tsao

Asian-Pacific Journal of Operational Research 20 ( 2 ) 143-160 2003.11

Research paper (scientific journal), Single Work

The Research on the Influence and Philosophic Theory of Lean Production in Advanced Manufacturing

Sun Linyan., Wang Jian and Cao (Tsao) Debi

Journal of Aeronautical Manufacturing Technology 6 ( 7 ) 31-35 2003.07

Research paper (scientific journal), Joint Work, Accepted

Solving Resource-constrained Project Scheduling Problems by Bi-criteria Heuristic Search Techniques

Ahsan M. K. and De-bi Tsao

Journal of System Science and System Engineering 12 ( 2 ) 190-203 - 203 2003.06

Research paper (scientific journal), Joint Work, Accepted

A Comment on ‘Solving Project Scheduling’ Problems with a Heuristic Learning Algorithm

Ahsan M. K. and De-bi Tsao

Journal of the Operations Research Society 54 ( 6 ) 666-668 2003.03

Research paper (scientific journal), Joint Work, Accepted

Studies on the Classification of Advanced Manufacturing Models

Sun Linyan., Wang Jian and Cao (Tsao) Debi

Journal of Mechanical Engineering 13 ( 1 ) 84-88 2002.02

Research paper (scientific journal), Joint Work, Accepted

The Systematic Analysis Method in Theory of Constraints and Its Application in Marketing Competition

Wang Jian., Cao (Tsao) Debi and Sun Linyan

Journal of Industrial Engineering and Management (China) 6 ( 3 ) 33-38 2001.12

Research paper (scientific journal), Joint Work, Accepted

安全在庫の集中とその配分時期の動的決定方法

TSAO DE-BI

日本経営工学会誌 52 ( 3 ) 172-179 2001.08

Research paper (scientific journal), Single Work

多段階在庫システムにおけるデカップリング在庫に関する研究

TSAO DE-BI

日本経営工学会誌 52 ( 2 ) 125-132 2001.06

Research paper (scientific journal), Joint Work

2段階分枝型在庫システムにおける補充レベルと留保量

TSAO DE-BI

日本経営工学会誌 51 ( 6 ) 550-557 2001.02

Research paper (scientific journal), Single Work

The Core Issues of Quick Response Strategy and its Development Tendency

Wang Jian, Cao (Tsao) De-bi and Sun Linyan

Journal of Industrial Engineering and Management (China) 5 ( 1 ) 22-25 2000.12

Research paper (scientific journal), Joint Work, Accepted

需要予測の誤差を用いた安全在庫の計算方法

TSAO DE-BI

日本経営工学会誌 51 ( 4 ) 372-379 2000.10

Research paper (scientific journal), Single Work

分枝型在庫システムにおける情報の共有効果について

TSAO DE-BI

経営情報学会誌 8 ( 4 ) 67-76 2000.03

Research paper (scientific journal), Joint Work, Accepted

A Study on the Determination of Replenishment Using Dynamic Approach in (1, m) Type Inventory System

J. W. Lee, C. Y. Lee, D.B. Tsao

Journal of the Korean Institute of Port Research (Korea) 14 ( 1 ) 37-45 2000.03

Research paper (scientific journal), Joint Work, Accepted

革新的製品と瞬時対応型サプライチェーンモデル

TSAO DE-BI

日本経営工学会誌 50 ( 6 ) 417-423 2000.02

Research paper (scientific journal), Joint Work, Accepted

発注納期より確定納期が遅れる取引きのPush/Pull型生産在庫

TSAO DE-BI

日本経営工学会誌 50 ( 3 ) 184-190 1999.08

Research paper (scientific journal), Joint Work, Accepted

納期延期を伴う需要の生産方式の選択問題

TSAO DE-BI

日本経営工学会誌 50 ( 1 ) 42-48 1999.04

Research paper (scientific journal), Joint Work, Accepted

需要の変動および配送平準化を考慮した多期間配送計画問題

TSAO DE-BI

日本経営工学会誌 48 ( 6 ) 321-330 1998.02

Research paper (scientific journal), Joint Work, Accepted

ロジスティクスシステムにおける情報共有化とリードタイム短縮／小ロット化の効果と対策に関する研究

TSAO DE-BI

日本経営工学会誌 44 ( 6 ) 501-509 1994.02

Research paper (scientific journal), Joint Work, Accepted

二回補充システムにおける在庫留保量の決定方法

TSAO DE-BI

日本経営工学会誌 43 ( 6 ) 431-438 1993.02

Research paper (scientific journal), Joint Work, Accepted

Optimal Second Replenishment Policy in Two-Phased Push Control System

De-bi Tsao and Takao Enkawa

Journal of the Operations research Society of Japan, Vol.35, No.3, pp.273- 289 35 ( 3 ) 273-289 1992.09

Research paper (scientific journal), Joint Work, Accepted

二回配送プッシュコントロール方式における補充ルールに関する研究

TSAO DE-BI

日本経営工学会誌 42 ( 4 ) 238-243 1991.10

Research paper (scientific journal), Joint Work, Accepted

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