Implementing Pull Manufacturing in Make-To-Order Environments

نویسندگان

چکیده

The demand for increasing product variety and customization has forced many companies to adopt a make-to-order (MTO) strategy. Traditional push-type MTO suffer from unstable demands, struggling deliver on time, making them consider the utilization of pull systems control production. In present paper, an overview in environments is presented. Moreover, discrete event simulation (DES) model company printing packaging industrial sector was developed validated, order identify areas improvement. DES also used evaluate feasibility implementing three types systems: kanban, CONstant-Work-In-Process (CONWIP) Paired Overlapping Loops Cards with Authorizations (POLCA). main performance indicators measured were average WIP throughput time parts. key findings this project case study were: a) kanban inapplicable current routing parts; b) CONWIP strategy improves shop floor performance, but only when extra capacity added extrusion workstation; c) production based POLCA leads blockage system due existence multi-routes undirected routing.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Simulation-Optimization Model For Capacity Coordination In Make To Stock/Make To Order Production Environments

Capacity coordination, as the tactical level of hierarchical production planning in hybrid MTS/MTO systems, includes numerous important decisions. In this paper, two of these decisions i.e. finding the best strategy for the acceptance/rejection of incoming orders and determining orders’ due dates – are investigated. Also a simulation model is proposed to evaluate the efficiency of the presented...

متن کامل

A Batch-wise ATP Procedure in Hybrid Make-to-Order/Make-to-Stock Manufacturing Environment

Satisfying customer demand necessitates manufacturers understanding the importance of Available-To-Promise (ATP). It directly links available resources to customer orders and has significant impact on overall performance of a supply chain. In this paper, an improvement of the batch-mode ATP function in which the partial fulfillment of the orders is available will be proposed. In other words, in...

متن کامل

Integrated model for pricing, delivery time setting, and scheduling in make-to-order environments

Usually, in make-to-order environments which work only in response to the customer’s orders, manufacturers for maximizing the profits should offer the best price and delivery time for an order considering the existing capacity and the customer’s sensitivity to both the factors. In this paper, an integrated approach for pricing, delivery time setting and scheduling of new arrival orders are prop...

متن کامل

Implementing Supply-Routing Optimization in a Make-to-Order Manufacturing Network

Dell’s supply chain for desktops involves Asian vendors shipping components by sea to several U.S. plants. While suppliers are responsible for shipping enough inventory, Dell can re-route and expedite their shipments while in transit and also transfer on-hand inventory in order to balance supply across sites. This paper describes the development, implementation and impact of the process and opt...

متن کامل

Service Level Based Capacity Rationing Procedure for Make-To-Order Manufacturing Systems

We extend a heuristic method within the framework of “dynamic capacity apportionment procedure” (DCAP) to allocate an existing capacity among the classes with different profit contributions. In general, DCAP is applied when some capacity shortage exists and can not be enhanced in short - run. Our proposed approach is constructed for a make - to - order manufacturing system that produces a varie...

متن کامل

ذخیره 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: Advances in transdisciplinary engineering

سال: 2022

ISSN: ['2352-751X', '2352-7528']

DOI: https://doi.org/10.3233/atde220613