An Integrated Perishable Inventory Routing Problem with Consistent Driver Services and Deliver Fresh Products using Possibility and Necessity Measures

  • سال انتشار: 1399
  • محل انتشار: فصلنامه بین المللی مهندسی صنایع و تحقیقات تولید، دوره: 31، شماره: 2
  • کد COI اختصاصی: JR_IJIEPR-31-2_005
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 247
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نویسندگان

Mohammad Hasan Esmaili

Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

Seyed Meysam Mousavi

Associate Professor, Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

چکیده

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.  

کلیدواژه ها

Perishable products- Driver consistent- Freshness- Inventory routing problem- Possibility and Necessity measures.

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