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 compa...

Özet. Yazılım üretiminde, yönetim disiplini ihtiyacı yazılım geliştirme yöntemlerinin geliştirilmesini gerekli kılmıştır. 1970’li yıllarda Winston W. Royce tarafından yazılan bir makalede tarif edilen Şelale (“Waterfall”) yöntemi, yazılım geliştirme yöntemlerinin en bilinen örneği olup uzun yıllar birçok firma tarafından kullanılmıştır. Şelale yöntemi, genellikle ihtiyaçların çok iyi tanımlandı...

In just-in-time (JIT) production systems, there is both input stock in the form of parts and output stock in the form of product at each stage. These activities are controlled by production-ordering and withdrawal kanbans. This paper discusses a discrete-time optimal control problem in a multistage JIT-based production and distribution system with stochastic demand and capacity, developed to mi...

The consideration of demand variability in Multi-Product Lean Manufacturing Environment (MPLME) is an innovation in production system engineering. Manufacturing systems that fail to recognise demand variability generate high Work-In-Process (WIP) and low throughput in MPLME. In response to demand variability, organisations allocate large quantities of Production Authorisation Cards (PAC). A lar...

The MIT MEng team of four worked with Konarka Technologies, a world leading organic solar panel manufacturer, on production tracking and analysis as well as various operational improvement projects. MIT's collaborative improvement projects at Konarka's manufacturing facility were focused on information system and operations in the finishing processes after solar panels have been coated. This th...

A multi-stage Kanban based production system (MKPS) with variable production rates is considered. This paper is to study and analyse the process of designing an effective flexible Kanban pull system and to design and develop a method for MKPS with varying production rate at different work-stage. Raw materials are replenished at the first work-stage and they are processed through MKPS to generat...

The JIT system and its operational techniques have shown noticeable advantages when applied in an ideal factory. The steadiness of demand and production times and the reduction of setup times represent the key factor necessary in order to correctly execute JIT. Ideal environments are designed to work with smooth and stable demand patterns, constant and balanced processing times, small lot sizes...

In this paper we introduce a new class of queueing networks called arrival first networks. We characterise its transition rates and derive the relationship between arrival rules, linear partial balance equations, and product form stationary distributions. This model is motivated by production systems operating under a kanban protocol. In contrast with the conventional departure first networks, ...