Reprint

Mathematical Modelling and Optimization of Service Supply Chain

Edited by
August 2024
320 pages
  • ISBN978-3-7258-1793-1 (Hardback)
  • ISBN978-3-7258-1794-8 (PDF)

This is a Reprint of the Special Issue Mathematical Modelling and Optimization of Service Supply Chain that was published in

Computer Science & Mathematics
Engineering
Physical Sciences
Public Health & Healthcare
Summary

The present special issue Reprint contains a total of 14 articles accepted and published in the special issue “Mathematical Modelling and Optimization of Service Supply Chain” of the MDPI Mathematics journal. It covers a wide range of topics connected to the theory and applications of advanced analytical methods in the service supply chain. To be specific, these topics include the following: (1) the study of customer preferences and behaviors, e.g., environmental consciousness, traceability preferences, and optional demand, (2) the optimization of service supply chain members’ decisions, e.g., operational strategies, revenue management, and sustainability practices, (3) the proposal of coordination mechanisms in service supply chains, e.g., sales reward contract and carbon trading mechanisms, (4) and the effects of the external environment, e.g., risks, government subsidies and innovative technology. In addition, these topics have been studied under some special service scenarios, including maritime logistics, food services, and green innovation. This reprint is intended for a diverse audience, including students, researchers, and practitioners in the fields of supply chain management, service science, operations research, industrial engineering, and business management. Our goal is to equip readers with both the theoretical foundations and practical tools necessary for optimizing service supply chains in various industries.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
emergency logistics; location-routing problem; bi-level programming; multi-agent decision; ant colony–tabu search algorithm; online take-out service; take-out model choice; coordination; platform; two commodity; (s,Q)-policy; Markovian arrival process; optional demands; perishable inventory; platform; service supply chain; mathematical modeling; optimization; green technology licensing; environmental concern; competition; consumer surplus; social welfare; inventory policy; mathematical modeling; decision making; Markov chain; government subsidies; dual-channel green supply chain; fairness concerns; retailer-led; state ownership; earnings management; supply chain; management integrity; media attention; inventory; band policy; MAP; Markov chain; first-passage times; low-carbon supply chain; retailer-led; altruistic preference; carbon quota policy; blockchain; consumer traceability preferences; fresh agricultural products; competitive environment; emergency logistics; location-routing problem; bi-level programming; uncertain decision-making environment; robust optimization; dual-channel supply chain; blockchain technology; consumers’ traceability awareness; bundling strategy; closed-loop supply chain management; green supply chain management; perishable products; quality deterioration; n/a