کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4959445 1445945 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Measurement and optimization of responsiveness in supply chain networks with queueing structures
ترجمه فارسی عنوان
اندازه گیری و بهینه سازی پاسخ در شبکه های زنجیره تامین با ساختارهای صف بندی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی


- Uses Markovian queueing networks to model endogenous supply chain systems.
- Measures and optimizes supply chain responsiveness.
- Closed-form results for measuring responsiveness in the serial supply chain.
- Converts the Jackson-type supply chain into a single-stage queueing system.
- Detailed numerical examples are provided.

In this paper we consider supply chains with multiple stages of serial or network structure. The supply chains are endogenous in the sense that they involve queues because each order's lead-time is dependent on the orders already in the system. We define supply chain responsiveness as the probability of fulfilling customer orders within a promised lead-time and study the problems of measuring and optimizing supply chain responsiveness using queueing network models. We first consider a single-server multi-stage serial supply chain and find a closed form expression for the fulfilment time distribution. For the multi-server multi-stage problem, the closed form evaluation of the fulfilment time distribution becomes intractable due to the dependency of the lead-times in different stages. We circumvent this difficulty by proposing a novel FCFS discipline which enables a closed-form analysis. For the multi-server multi-stage Jackson-type supply chain network, to enable analysis, we convert the system into an equivalent single server single stage system with state-dependent rates. For each case, we present detailed numerical examples for both measurement and the optimization of supply chain responsiveness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Operational Research - Volume 264, Issue 1, 1 January 2018, Pages 106-118
نویسندگان
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