Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/246436 
Year of Publication: 
2021
Citation: 
[Journal:] Operations Research Perspectives [ISSN:] 2214-7160 [Volume:] 8 [Publisher:] Elsevier [Place:] Amsterdam [Year:] 2021 [Pages:] 1-9
Publisher: 
Elsevier, Amsterdam
Abstract: 
This research mainly aims to provide a practical method to (1) rank a firm's customers, (2) determine the implied uncertainty for customers' demand, and (3) allocate supply chain (SC) resources for meeting customer demands in an equitable manner in order to provide them with an appropriate/desired level of responsiveness. The suggested methodology utilizes the analytic hierarchy process (AHP) and the Delphi method to (1) assess customers based on their relative importance and (2) determine the implied demand uncertainty for the product(s) they purchase from the firm. The information obtained from AHP and Delphi is used to construct a goal programming (GP) model to allocate organizational resources among the customers to meet their demands.
Subjects: 
Demand Uncertainty
Pareto Customers
Responsiveness
Analytic Hierarchy Process
Goal Programming
Supply chain management
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc-nd Logo
Document Type: 
Article

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