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Coordination in a single-vendor multi-buyer supply chain by synchronizing delivery and production cycles
Institution:1. Department of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong;2. Department of Management Science, Management School, Lancaster University, LA1 4YX Lancaster, UK;1. Land Economy Environment and Society, Scotland’s Rural College (SRUC), King’s Buildings, West Mains Road, Edinburgh EH9 3JG, United Kingdom;2. Department of Agricultural Economics and Agribusiness, University of Arkansas, Fayetteville, AR 7270, United States;3. Department of Food and Resource Economics, Korea University, Seoul, South Korea;4. Norwegian Agricultural Economics Research Institute, Oslo, Norway;5. CREDA-UPC-IRTA, Parc Mediterrani de la Tecnologia, Edifici ESAB, C/Esteve Terrades, 8, 08860 Castelldefels, Spain;1. Medical Centre of Stomatology, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China;2. Department of Endocrinology and Metabolism, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China;1. Research Center for Smarter Supply Chain, School of Business, Soochow University, Suzhou, China;2. School of Business, Guilin University of Electronic Technology, Guilin 541004, China;3. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China;4. Institute of Physical Internet, School of Intelligent Systems Science and Engineering, Jinan University (Zhuhai Campus), Zhuhai, China;1. Department of Computer Science, Graduate Center, CUNY, 365 Fifth Avenue, New York, NY 10016, USA;2. CAISS, Department of Computer Science, City College, CUNY, 137th Street and Convent Avenue, New York, NY 10031, USA;3. Department of Computer and Information Science, Brooklyn College, CUNY, 2900 Bedford Avenue, Brooklyn, NY 11210, USA;4. Department of Computer Science, University of Liverpool, Ashton Building, Ashton Street, Liverpool L69 3BX, UK
Abstract:This paper proposes a coordinated single-vendor multi-buyer supply chain model by synchronizing delivery and production cycles. The synchronization is achieved by scheduling the actual delivery days of the buyers and coordinating them with the vendor’s production cycle whilst allowing the buyers to choose their own lot sizes and order cycles. A mathematical model for our proposed coordination is developed and analyzed. The results of our three numerical examples show that the synchronized cycles policy works better than independent optimization as well as restricting buyers to adopt a common order cycle.
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