Earticle

초록

영어

Catering Service Supply Chain (CSSC) is a new supply chain, of which Catering Service Integrator (CSI) is in the center accompany with Functional Catering Service Provider (FCSP). The core objective of CSSC is to provide different catering enterprises with supply chain services. Instability, non-standardization, specialty and diversity characteristics of the Chinese catering industry inevitably lead to demand uncertainty of CSSC, directly resulting in the uncertainty of operation and supply side. The uncertainty of supply chain system is the basis of robust optimization study, under the influence of uncertainty, robustness is extremely important to ensure stable income and continuous operation of supply chain. This research classifies various uncertainty scenarios, based on robust optimization method. Two strategies, service coordination with widely knowledge sharing, and synchronous decision with intelligent inducement, are designed to induce and integrate personalized demand to get the scale effect and the coordination of the entire supply chain. From a point of quantitative view, this research builds up robust optimization model to improve robustness of CSSC, deposing the target into two coordinated parts. The coordination is of great sense, including two objectives simultaneously, the first one aims to maximize the delivery rate of order demand, the second one aims to optimize profit of CSI and FCSP. According to data examination, the coordinative strategies and robust optimization model can effectively control the uncertainty of the whole supply chain, and then improve the robustness of CSSC.

목차

Abstract
 1. Introduction
 2. Uncertainty Analysis of CSSC
  2.1. Uncertainty of Demand
  2.2. Uncertainty of Operation
  2.3 Uncertainty of Supply
 3. Uncertainty Control Strategy Design
  3.1. Service Coordination with Widely Knowledge Sharing
  3.2 Synchronous Decision with Intelligent Inducement
 4. Robust Optimization Modeling of CSSC
  4.1 Problem Description
  4.2. Parameter Definitions and Assumptions
  4.3. Robust Optimization Model
 5. Empirical Case Study
 6. Conclusion
 References

키워드

저자

• Juanqiong Gou [ School of Economics and Management, Beijing Jiaotong University, Beijing, China ]
• Jing Xiang [ School of Economics and Management, Beijing Jiaotong University, Beijing, China ]
• Shujun Zhang [ School of Economics and Management, Beijing Jiaotong University, Beijing, China ]
• Wei Dai [ Information Systems Discipline, Victoria University, Melbourne, Australia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of u- and e- Service, Science and Technology

• 간기

  격월간

• pISSN

  2005-4246

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605