Advanced optimization model of resource allocation in the B2C supply chain
| Autor: | Mohamed Fourka, Naoufal Sefiani, Firdaous Zair |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Decision support system
business.industry Computer science Process (engineering) media_common.quotation_subject Supply chain 05 social sciences General Engineering E-commerce Risk analysis (engineering) 0502 economics and business Resource allocation Operational planning 050211 marketing Customer satisfaction Quality (business) business 050203 business & management media_common |
| Zdroj: | Engineering review. 38:328-337 |
| ISSN: | 1849-0433 1330-9587 |
| DOI: | 10.30765/er.38.3.10 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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