Advanced optimization model of resource allocation in the B2C supply chain

Abstract

Resource allocation plays a critical role in the strategic, tactical, and operational planning of the supply chain. The study focuses on aspects of resource allocation in the case of pure players, manufacturers, and Clicks & Mortars that have launched online sales. These e-retailers offer a wide selection of customized services and so need an efficient management on every level and process. The goal of the research was to explore a concrete approach to improve customer satisfaction, reduce costs and risks and to maintain the benefits of e-retailers and of its collaborators. Our contribution is a decision support system and a tool to improve operational resources allocation in B2C supply chains. Hence, we started by modeling operations and the different scenarios. Then we introduced an optimization model founded on the analysis of resource allocation in B2C supply chains and applicable on any B2C e-retailer. It helps in choosing the most optimal resources for each order. The model is based on a multi-objective optimization approach that takes into consideration the collaboration of resources throughout the supply chain operations process including dynamic costs and collaborator capabilities as well as associated risks and the quality of delivered services.

Solving multi-objective supplier selection and quota allocation problem under disruption using a scenario-based approach

“…Cijt and CCkjt as capacities of suppliers are are assumed to be in the interval [80,200]. Pijt get values in the interval [100,50] and ppkjt in the interval [20,50]. Values of aij and aakj are assumed to be in the interval [20,50].…”

“…Pijt get values in the interval [100,50] and ppkjt in the interval [20,50]. Values of aij and aakj are assumed to be in the interval [20,50]. Tj and Qj for all products can get values in the interval [0.1, 0.3].…”

“…Hsieh and Chiu [19] attempted to improve the match between quality specifications (QS) and components of a supply chain. Zair et al [20] proposed a model based on the multi-objective optimization approach in which the costs of resources collaboration, the risks of this collaboration and quality of delivered services were examined. One of the issues which has not been addressed in the background research in this area is to consider supplier disruptions as one of the real-world realities.…”

“…In this paper, a linearized model of this method is presented for the ease and accuracy in solving the problem [25]. The new notations introduced in the model as well as the linearized model of the fuzzy three-choice goal programming method are in accordance with Table 2 and relationships (20) to (30), respectively. Furthermore, Constraints (6) to (19) should be added to the model.…”

Analysis on Infectious Risk Stress in the Supply Chain of Mega Infrastructure Project

“…Additionally, the action mechanism of infectious risk pressure was disclosed by analysing influences of random variables on infectious risks. Research conclusions provide references to anti-risk integrated design of supply chain of mega infrastructure project and to improve reliability as well as security [11].…”