A Cost-Effective Control System within the Multi-Stage Single-Point Production Processes
Author(s):
Abstract:
In a general sense, the main concept of Just-In-Time methodology is built on the concept of availability of an exact amount and type of commodity throughout a production line when it is really required. Under such circumstances, there is no need to situate any warehouse before any of the work station within the production plant. This method of manufacturing operations with the help of Kanban tool has been able to provide a beneficial profile in term of cost reduction to many industries around of the world. It is now agreed that In the recent years particularly where rapid changing and uncertain environment is a dominant factor, this method must be implemented to manufacturing modeling and operations with more caution. Under conditions of nowadays marketplace, maintaining a balance between the diversities comes from market requirements and a designated scheduling batch size of traveling commodities comes from such a plant manufacturing strategy is rarely possible. In addition, it is not rational thinking of manipulating the outsource commodities in response to the ongoing production line requirements. Therefore a production scheduling policy that could provide more inside relaxation to supply the required items before any of the work stations is more reliable. This research patches up the current concept of Just-In-Time philosophy with some new assumptions which as a buffer permits a temporary intermediate stock before any of stages through the supply chain. The criteria for setting the right size and time of the batches traveling between each of the two sequential stages come from a new cost-effective control method. This cost model considers all elements of the total production operations within the chain and formulates them by the use of mixed integer nonlinear programming. A genetic algorithm is also developed to solve the proposed model. The results of a comparison performance of this modified JIT method with that Sarker & Wang applied in their paper (2004) show a noticeable decrease in the total cost of the chain as well as its level of WIP and its number of kanbans using within in.
Keywords:
Improved , Kanban , Just , in , time , Supply chain , Mixed integer nonlinear model , Genetic algorithm
Language:
Persian
Published:
International Journal of Industrial Engineering & Production Management, Volume:21 Issue: 4, 2011
Page:
154
magiran.com/p831078
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یکساله به مبلغ 1,390,000ريال میتوانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
- حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران میشود.
- پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانههای چاپی و دیجیتال را به کاربر نمیدهد.
In order to view content subscription is required
Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!