Special Issue on Production Planning and Scheduling

2015 ◽  
Vol 9 (3) ◽  
pp. 209-209 ◽  
Author(s):  
Nobuhiro Sugimura ◽  
Koji Iwamura ◽  
Tomohiko Maeda
Keyword(s):  
Production Planning ◽  
Production Management ◽  
Production Systems ◽  
Distributed Simulation ◽  
Resource Planning ◽  
Shop Floor ◽  
Special Issue ◽  
Planning And Scheduling ◽  
Processing Technologies ◽  
Production Planning And Scheduling

This issue focuses on production planning and scheduling for production system and the related problems that have arisen in these areas in the last half century as digital computer systems developed. These problems relate to production management, production planning, shop floor control, product design and process planning. In the first stage of production planning and scheduling systems R&D, optimization is a key issue that has been widely discussed and many theories and optimization algorithms proposed. Rule-based methods are discussed as potential solutions to these problems. With rapid advances in computer and information processing technologies and performance, tremendous progress has been made in the areas of production systems such as production planning, production scheduling, advances production systems (APS), enterprise resource planning (ERP), just-in time (JIT) processes, the theory of constraint (TOC), product data management (PDM) and computer-aided design / manufacturing / engineering (CAD/CAM/CAE). This special issue addresses the latest research advances, applications, and case studies in production planning and scheduling covering such as decentralized and autonomous production systems, distributed simulation models, robust capacity planning models, wireless sensor networks for production systems and applications to automotive component and steel production. We hope that learning about these advances will enable readers to share their own experience and knowledge in technology, new developments and the potential applications of production planning and scheduling methods and solutions.

A double decoupling postponement approach for integrated mixed flow production systems

Kybernetes ◽  
2015 ◽  
Vol 44 (5) ◽  
pp. 705-720 ◽  
Author(s):  
Yanting Ni ◽  
Yi Wang
Keyword(s):  
Real Time ◽  
Production Planning ◽  
Production Systems ◽  
Shop Floor ◽  
Mixed Flow ◽  
Planning And Scheduling ◽  
Content Type ◽  
Production Planning And Scheduling ◽  
Work In Process

Purpose – In a mixed flow production environment, interactions between production planning and scheduling are critical for mixed flow distributed manufacturing management. The purpose of this paper is to assist manufacturers in achieving real-time ordering and obtaining integrated optimization of shop floor production planning and scheduling for mixed flow production systems. Design/methodology/approach – A double decoupling postponement (DDP) approach is presented for production dispatch control, and an integrated model is designed under an assemble to order (ATO) environment. To generate “optimal” lots to fulfil real-time customer requests, constant work in progress (CONWIP) and days of inventory dispatching algorithms are embedded into the proposed DDP model, which can deal with real-time ordering and dynamic scheduling simultaneously. Subsequently, a case study is conducted, and experiments are carried out to verify the presented method. Findings – The proposed DDP model is designed to upgrade a previous CONWIP method in the case study company, and the proposed model demonstrates better performance for the integration of production planning and scheduling in mixed flow manufacturing. As a result, the presented operation mechanism can reflect real-time ordering information to shop floor scheduling and obtain performance metrics in terms of reliability, availability and maintainability. Research limitations/implications – The presented model can be further proliferated to generic factory manufacturing with the proposed logic and architecture. Originality/value – The DDP model can integrate real-time customer orders and work in process information, upon which manufacturers can make correct decisions for dispatch strategies and order selection within an integrated system.

Kennzahlensysteme als Instrumente des Produktionscontrolling

2010 ◽  
Vol 51 (2) ◽  
pp. 10-17 ◽  
Author(s):  
Uwe Götze ◽  
Susan Krönert ◽  
Barbara Mikus
Keyword(s):  
Production Planning ◽  
Balanced Scorecard ◽  
Production Management ◽  
Planning And Scheduling ◽  
Eine Hohe ◽  
Production Planning And Scheduling ◽  
Production Area ◽  
Procedure Model

Im vorliegenden Beitrag wird zunächst herausgearbeitet, dass Kennzahlen und Kennzahlensysteme im Produktionsbereich zahlreiche Einsatzmöglichkeiten aufweisen, ihnen eine hohe Bedeutung zukommt und sie in vielfältigen Ausprägungen vorgeschlagen bzw. genutzt werden. Um einen gezielten und systematischen Umgang mit Kennzahlensystemen zu ermöglichen, wird dann ein Vorgehensmodell für deren Gestaltung und Einsatz konzipiert. Für die strategische Ausrichtung von Produktionsbereichen bietet sich die Anwendung des Balanced Scorecard-Konzeptes an. Daher wird schließlich eine speziell auf Produktionsbereiche zugeschnittene, an den Gebieten der Produktionsplanung und -steuerung ansetzende Scorecard-Struktur vorgestellt. Ratios and ratio systems for the production area of enterprises have various potentialities for use. They are absolutely necessary in order to control the plans and results of production and are therefore an important instrument of controlling. Because of the amount of possible ratios the questions are to be answered which ratios should be used and how they can be combined to a system. Thus, a procedure model is developed, that shows the steps for a systematic and successful creation, use and adaption of ratio systems for production management. Additionally, the article proposes a concept for a balanced scorecard with two levels and a structure corresponding to the fields of production planning and scheduling systems. Keywords: kennzahlensysteme als instrument des produktionscontrolling

An agent-based architecture for production scheduling in dynamic job-shop manufacturing system

2018 ◽  
Vol 66 (6) ◽  
pp. 492-502 ◽  
Author(s):  
Om Ji Shukla ◽  
Gunjan Soni ◽  
Rajesh Kumar ◽  
Sujil A
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Manufacturing System ◽  
Job Shop ◽  
Shop Floor ◽  
Efficient Production ◽  
Planning And Scheduling ◽  
Agent Based ◽  
Production Planning And Scheduling ◽  
Key Issues

Abstract In a highly competitive environment, effective production is one of the key issues which can be addressed by efficient production planning and scheduling in the manufacturing system. This paper develops an agent-based architecture which enables integration of production planning and scheduling. In addition, this architecture will facilitate real time production scheduling as well as provide a multi-agent system (MAS) platform on which multiple agents will interact to each other. A case study of job-shop manufacturing system (JMS) has been considered in this paper for implementing the concept of MAS. The modeling of JMS has been created in SimEvents which integrates an agent-based architecture developed by Stateflow to transform into dynamic JMS. Finally, the agent-based architecture is evaluated using utilization of each machine in the shop floor with respect to time.

PRODUCTION MANAGEMENT — SIMPLE OR COMPLEX

2004 ◽  
Vol 01 (04) ◽  
pp. 359-371 ◽  
Author(s):  
GIDEON HALEVI
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Production Management ◽  
Planning Method ◽  
Complex Task ◽  
Simple Task ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling ◽  
Planning Methods ◽  
Delivery Dates

Theoretical production planning and scheduling is actually very simple task: The plant gets orders which defines the product, the quantity and delivery dates. The resources of the plants are known, the product bill of material is known and the task of production scheduling is to make sure that the orders will be ready on time, that's all. It seems strange that in order to meet this simple task, over 100 complex production planning methods were proposed. Some of the outstanding ones are: PICS; MRP; ERP; GT; TOC; FMS; IMS; CIM; CE; JIT; Kanaban; TQM; Agent…, AGILE etc. Yet the search for "THE" method is carried on. In this paper an attempt to analyze why production planning is regarded as a complex task, and why the search for "THE" production planning method is still an open topic for researchers. Furthermore, to demonstrate how introduction of flexibility will restore the simplicity of production planning.

A Production Planning and Scheduling Architecture for Networked-Manufacturing System Based on Available-to-Promise

2011 ◽  
Vol 268-270 ◽  
pp. 292-296 ◽  
Author(s):  
Wen Hao Wang ◽  
Qiong Zhu ◽  
Jie Zhang
Keyword(s):  
Production Planning ◽  
Production Scheduling ◽  
Manufacturing System ◽  
Resource Planning ◽  
Networked Manufacturing ◽  
Planning And Scheduling ◽  
Production Planning And Scheduling ◽  
Order Management ◽  
Production Activity ◽  
Decision Making System

In the practical application of push-pull based production planning and scheduling architecture, the manufacturing system was found lacking of collaborative mechanism, especially for a networked-manufacturing environment, which requires each individual manufacturer interact and cooperate with each other for a collaborative manufacturing. This paper presents a production planning and scheduling architecture for networked-manufacturing system based on available-to-promise, which can effectively merge forecast-driven production activity with order-driven production activity, thus ensures the steady and prompt supply of material, and also cooperation and mutual benefit of individual manufacturer. This architecture consists of 1) an ATP-based order management and decision-making system, 2) a push-pull based multi-plant master production schedule collaboration model, 3) a pre-reactive collaborative replenishment model, 4) a production scheduling model of unrelated parallel machine and 5) the corresponding production planning and scheduling methods for each model. By combining the concept of ATP, this architecture can not only provide resource planning for networked-manufacturing system, but also offer quick response and promise to customer requests.

Sign in / Sign up

Export Citation Format

Share Document