Setting optimal production lot sizes and planned lead times in a job shop

Setting Optimal Production Lot Sizes and Planned Lead Times in a Job Shop System

In this research we model a job shop that produces a set of discrete parts in a make-to-stock setting. The intent of the research is to develop a planning model to determine the optimal operating tactics that minimize the relevant manufacturing costs subject to workload variability and capacity limits. We model the interplay of three key components in the job shop, namely, the production freque...

Production times minimization in the job shop scheduling problem

In this paper is proposed a computational model that considers the Part Selection Problem and the Job Shop Scheduling Problem in a Flexible Manufacturing Cell. The objective of the proposed model is managing, through the scheduling of the products, the importance of the three production variables: (i) tardiness time, (ii) number of setups and (iii) number of the tool switches. The computational...

Optimal Lot Sizes with Geometric Production Yield and Rigid Demand

Modelling the Lot Streaming Problem with Setup times in a Job Shop Manufacturing System

This paper aims at solving the lot streaming problem in a job shop environment, where setup times are involved. The proposed integer programming formulation sufficiently describes the processing dynamics of individual sublots and enables the simultaneous determination of schedules on machines and sublot sizes. Small instances of job shop problems with consistent sublots can thus be optimally so...

Customer Order Scheduling with Job-Based Processing and Lot Streaming In A Two-Machine Flow Shop

This paper considers a customer order scheduling (COS) problem in which each customer requests a variety of products processed in a two-machine flow shop. A sequence-independent attached setup for each machine is needed before processing each product lot. We assume that customer orders are satisfied by the job-based processing approach in which the same products from different customer orders f...