Volume 31, Issue 2 (IJIEPR 2020)                   IJIEPR 2020, 31(2): 231-242 | Back to browse issues page

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Esmaili M H, Mousavi S M. An Integrated Perishable Inventory Routing Problem with Consistent Driver Services and Deliver Fresh Products using Possibility and Necessity Measures. IJIEPR 2020; 31 (2) :231-242
URL: http://ijiepr.iust.ac.ir/article-1-1053-en.html
1- Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
2- Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran , mousavi.sme@gmail.com
Abstract:   (3160 Views)
To demonstrate the importance of customer satisfaction can mention numbers of the service providers that attempt to differentiate themselves by satisfied their customers, witnessed high growth. In this paper, some factors that increase retailers and customers’ satisfaction, such as driver consistent services and delivering fresh products, are considered in a perishable inventory routing problem (PIRP) under possibility and necessity class of fuzzy uncertainty measures. In a typical inventory routing problem (IRP), a distribution center delivers products to a set of customers through a limited time horizon, and simultaneously makes a decision about inventory and routing to minimize the total cost. The proposed model is formulated as mixed-integer programming. Two types of consistent driver services are regarded for different kinds of customers, including particular and typical customers. To investigate the validity of the model, the problem is solved for two values of possibility and necessity measures.
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Type of Study: Research | Subject: Facilities Design & or Work Space Design
Received: 2020/04/18 | Accepted: 2020/04/18 | Published: 2020/06/27

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