TY - JOUR
T1 - Knowledge management system for operating parameters in two-echelon VMI supply chains
AU - Nachiappan, S. P.
AU - Gunasekaran, A.
AU - Jawahar, N.
N1 - Funding Information:
The authors thank the Management, Principal, Head of Mechanical Engineering Department of Thiagarajar College of Engineering, Madurai and the Department of Management, University of Massachusetts, Dartmouth, for providing necessary facilities to carry out this work. The authors especially thank All India Council for Technical Education (AICTE), New Delhi for the grant sanctioned under research and development scheme (8021/RID/NPROJ/R&D-198/2002-03) titled Exploration and Development of Decision Support Models for Logistics and Supply Chain Management and agricultural development offices situated at rural parts of South India for providing necessary data.
PY - 2007/6
Y1 - 2007/6
N2 - This paper presents an information technology (IT)-driven normative model of vendor-managed inventory system in a two-echelon supply chain comprising of m vendors and n buyers, referred as Two-echelon Multiple Vendor Multiple Buyers Supply Chain (TMVMBSC). The operational parameters to the above model are: sales quantities and their corresponding sales price of the buyers and transaction quantities that determine channel profit of supply chain and their respective contract prices between vendors and buyers. In order to find out the optimal transaction quantities for each buyer in TMVMBSC problem, a mathematical model is formulated. Optimal sales price and acceptable contract price at different revenue share are subsequently derived with the optimal transaction quantity. A knowledge management system (KMS) using genetic algorithm is proposed to solve this TMVMBSC problem, which belongs to nonlinear integer programming problem (NIP). The proposed KMS is evaluated for its solution quality and computational time. Besides, the robustness of model with its parameters, which fluctuate frequently and are sensitive to operational features, is analysed.
AB - This paper presents an information technology (IT)-driven normative model of vendor-managed inventory system in a two-echelon supply chain comprising of m vendors and n buyers, referred as Two-echelon Multiple Vendor Multiple Buyers Supply Chain (TMVMBSC). The operational parameters to the above model are: sales quantities and their corresponding sales price of the buyers and transaction quantities that determine channel profit of supply chain and their respective contract prices between vendors and buyers. In order to find out the optimal transaction quantities for each buyer in TMVMBSC problem, a mathematical model is formulated. Optimal sales price and acceptable contract price at different revenue share are subsequently derived with the optimal transaction quantity. A knowledge management system (KMS) using genetic algorithm is proposed to solve this TMVMBSC problem, which belongs to nonlinear integer programming problem (NIP). The proposed KMS is evaluated for its solution quality and computational time. Besides, the robustness of model with its parameters, which fluctuate frequently and are sensitive to operational features, is analysed.
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U2 - 10.1080/00207540601020478
DO - 10.1080/00207540601020478
M3 - Article
AN - SCOPUS:34247345777
SN - 0020-7543
VL - 45
SP - 2479
EP - 2505
JO - International Journal of Production Research
JF - International Journal of Production Research
IS - 11
ER -