Inventory Control System Based on Control Charts to Improve Supply Chain Performances
نویسندگان
چکیده
منابع مشابه
A real-time SPC inventory replenishment system to improve supply chain performances
Inventory replenishment rules contribute significantly to the bullwhip effect and inventory instability in supply chains. Smoothing replenishment rules have been suggested as a mitigation solution for the bullwhip effect but dampening the bullwhip effect might increase inventory instability. This paper evaluates a real-time inventory replenishment system denoted as SPC that utilizes a control c...
متن کاملThe impact of information sharing and inventory control coordination on supply chain performances
http://dx.doi.org/10.1016/j.cie.2014.08.006 0360-8352/ 2014 Elsevier Ltd. All rights reserved. q This manuscript was processed by Area Editor Mohamad Y. Jaber. ⇑ Corresponding author at: Department of Mechanical and Aerospace Engineering, University of Rome ‘‘La Sapienza’’, Via Eudossiana, 18, 00184 Roma, Italy. Tel.: +39 3282777914; fax: +39 0644585746. E-mail addresses: francesco.costantino@u...
متن کاملInventory Control in Closed Loop Supply Chain using System Dynamics
Inventory control is a fundamental activity in closed loop supply chains, particularly for remanufacturing processes. Several models have been developed in the literature where the aim is mostly to optimize cost or profit and to find the optimal order quantity for an integrated production and remanufacturing system. In this study, we explore a System Dynamics approach in order to model an inven...
متن کاملFuzzy Inventory Control of a Supply Chain
Inventory control is an important factor in reducing the operating costs of the supply chain. This study proposes using a fuzzy inventory controller to make the ordering decision for the members in a supply chain. Such a controller is expressed as a set of fuzzy rules, which allows the manager to summarize his/her experience of reasoning process as well as incorporate conventional proportional ...
متن کاملCase-based reinforcement learning for dynamic inventory control in a multi-agent supply-chain system
Reinforcement learning (RL) appeals to many researchers in recent years because of its generality. It is an approach to machine intelligence that learns to achieve the given goal by trial-and-error iterations with its environment. This paper proposes a case-based reinforcement learning algorithm (CRL) for dynamic inventory control in a multi-agent supply-chain system. Traditional time-triggered...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Simulation Modelling
سال: 2014
ISSN: 1726-4529
DOI: 10.2507/ijsimm13(3)1.263