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Article
Publication date: 1 April 1991

Martyn Luscombe

There has been much discussion on the merits of differentproduction control philosophies, particularly MRPII, OPT and JIT. Aconsensus is emerging that these philosophies are not…

Abstract

There has been much discussion on the merits of different production control philosophies, particularly MRPII, OPT and JIT. A consensus is emerging that these philosophies are not mutually exclusive, and some companies are beginning to mix and match different approaches to meet their particular needs. The design of hybrid production control systems requires the establishment of a theory of production control that embraces, but is independent of, the well‐defined philosophies of MRPII, OPT and JIT. Without such an understanding of production control there is no framework within which to build hybrid production control systems. Five universal principles of production control are set out, and it is shown how these principles can be used to construct the Integrated Production Control (IPC) Model. This model provides the conceptual framework necessary for the design of hybrid production control systems. The relationships of MRPII, OPT, and kanban, the classical JIT scheduling system, are explored, and areas of strength and weakness identified.

Details

Integrated Manufacturing Systems, vol. 2 no. 4
Type: Research Article
ISSN: 0957-6061

Keywords

Article
Publication date: 1 April 1992

Yasuhiro Hirakawa, Kyoji Hoshino and Hiroshi Katayama

Recently, it has been recognized that production control systemsfor multi‐stage manufacturing processes can be classified into push‐typeand pull‐type systems. The push‐type…

Abstract

Recently, it has been recognized that production control systems for multi‐stage manufacturing processes can be classified into push‐type and pull‐type systems. The push‐type systems are commonly defined as those types of materials requirements planning system which utilize the forecast of demands. The pull‐type systems, on the other hand, are those where order quantities are determined on the basis of real demand. Describes a hybrid push/pull production control system, operated periodically, which combines the benefits of both systems. Discusses theoretical arguments in support of this system and numerical studies are shown to give insight into the system′s performance. Hybrid push/pull‐type systems can attain a higher degree of effectiveness if they are appropriately operated.

Details

International Journal of Operations & Production Management, vol. 12 no. 4
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 1 July 1999

Hans van der Bij and Jeroen H.W. van Ekert

Describes a qualitative study on interaction between systems for production control and quality control within industrial organisations. Production control and quality control

4963

Abstract

Describes a qualitative study on interaction between systems for production control and quality control within industrial organisations. Production control and quality control interact in a sense. Good performance for one aspect often influences or frustrates the performance of the other. As far as is known, the phenomenon of interaction between production control and quality control has not been described extensively in literature. Therefore we decided to form an inductive theory, based on fieldwork. As a result the study had a particularly qualitative character. It was necessary to sharply delineate the concepts of production control and quality control. The authors regard production control and quality control as two separate, but mutually influencing, control systems in the organisation. On the basis of four case studies, a model was developed that describes and explains the interaction phenomenon between production control and quality control. From this interaction model, points of attention can be deduced for the re‐design of production control systems and quality control systems. The model was tested in two other case studies involving consultants in the area of production control.

Details

International Journal of Operations & Production Management, vol. 19 no. 7
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 12 February 2018

Huthaifa AL-Khazraji, Colin Cole and William Guo

The purpose of this paper is to examine the impact of applying two classical controller strategies, including two proportional (P) controllers with two feedback loops and one…

438

Abstract

Purpose

The purpose of this paper is to examine the impact of applying two classical controller strategies, including two proportional (P) controllers with two feedback loops and one proportional–integral–derivative (PID) controller with one feedback loop, on the order and inventory performance within a production-inventory control system.

Design/methodology/approach

The simulation experiments of the dynamics behaviour of the production-inventory control system are conducted using a model based on control theory techniques. The Laplace transformation of an Order–Up–To (OUT) model is obtained using a state-space approach, and then the state-space representation is used to design and simulate a controlled model. The simulations of each model with two control configurations are tested by subjecting the system to a random retail sales pattern. The performance of inventory level is quantified by using the Integral of Absolute Error (IAE), whereas the bullwhip effect is measured by using the Variance ratio (Var).

Findings

The simulation results show that one PID controller with one feedback loop outperforms two P controllers with two feedback loops at reducing the bullwhip effect and regulating the inventory level.

Originality/value

The production-inventory control system is broken down into three components, namely: the forecasting mechanism, controller strategy and production-inventory process. A state-space approach is adopted to design and simulate the different controller strategy.

Details

Journal of Modelling in Management, vol. 13 no. 1
Type: Research Article
ISSN: 1746-5664

Keywords

Article
Publication date: 1 June 1985

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains…

12667

Abstract

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.

Details

Management Decision, vol. 23 no. 6
Type: Research Article
ISSN: 0025-1747

Keywords

Article
Publication date: 1 March 1981

R.P. Toone and J. Gibson

The order control system in a manufacturing firm is influenced by sales, production, purchasing etc, whose differing aims have to be reconciled in order to meet customer needs…

Abstract

The order control system in a manufacturing firm is influenced by sales, production, purchasing etc, whose differing aims have to be reconciled in order to meet customer needs. Wild[1] provides a framework for analysis when he proposes two objectives for operations management:

Details

International Journal of Operations & Production Management, vol. 2 no. 2
Type: Research Article
ISSN: 0144-3577

Article
Publication date: 1 February 1987

J.P. Monniot, D.J. Rhodes, D.R. Towill and J.G. Waterlow

This monograph examines research needs in computer aided production management (CAPM). Recommendations for future research and its organisation are made. The monograph is based on…

Abstract

This monograph examines research needs in computer aided production management (CAPM). Recommendations for future research and its organisation are made. The monograph is based on an in‐depth study of current CAPM practice in a varied sample of 33 companies. The study conclusions confirm many existing beliefs. Many companies are paying inadequate attention to the necessary prerequisites for successful CAPM implementation. The prerequisites change as the extent of CAPM system integration increases. Organisational rather than implementation issues dominate as integration increases. The proposed research would bring together existing knowledge of best CAPM practice to form methodologies for the audit, design and implementation of CAPM systems. The aim is to reduce the time‐span of the learning curve required for successful CAPM integration. The methodologies need to be specific to particular industrial sectors.

Details

International Journal of Operations & Production Management, vol. 7 no. 2
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 29 November 2017

Huthaifa AL-Khazraji, Colin Cole and William Guo

The purpose of this study is to propose a new dynamic model of a production-inventory control system. The objective of the new model is to maximise the flexibility of the system…

Abstract

Purpose

The purpose of this study is to propose a new dynamic model of a production-inventory control system. The objective of the new model is to maximise the flexibility of the system so that it can be used by decision makers to design inventory systems that adopt various strategies that provide a balance between reducing the bullwhip effect and improving the responsiveness of inventory performance.

Design/methodology/approach

The proposed production-inventory control system is modelled and analysed via control theory and simulations. The production-inventory feedback control system is modelled through continuous time differential equations. The simulation experiments design is conducted by using the state-space model of the system. The Automatic Pipeline Inventory and Order-Based Production Control System (APIOBPCS) model is used as a benchmark production-inventory control system.

Findings

The results showed that the Two Automatic Pipelines, Inventory and Order-Based Production Control System (2APIOBPCS) model outperforms APIOBPCS in terms of reducing the bullwhip effect. However, the 2APIOBPCS model has a negative impact on Customer Service Level. Therefore, with careful parameter setting, it is possible to design control decisions to be suitably responsive while generating smooth order patterns and obtain the best trade-off of the two objectives.

Research limitations/implications

This research is limited to the dynamics of single-echelon production-inventory control systems with zero desired inventory level.

Originality/value

This present model is an extension and improvement to Towill’s (1982) and John et al.’s (1994) work, since it presents a new dynamic model of a production-inventory control system which utilises an additional flow of information to improve the efficiency of order rate decisions.

Details

Kybernetes, vol. 46 no. 10
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 1 September 1995

Yannick Frein, Maria Di Mascolo and Yves Dallery

Considers a class of control systems known as generalized kanban control systems (GKCS) which can be used to implement a pullcontrol mechanism in a manufacturing system. In a…

2042

Abstract

Considers a class of control systems known as generalized kanban control systems (GKCS) which can be used to implement a pull control mechanism in a manufacturing system. In a GKCS, the production system is decomposed into stages, where each stage consists of a production sub‐system. There are two design parameters per stage: one controls the work‐in‐process in the stage and the other determines the maximum number of finished products of this stage. Investigates the influence of these design parameters on the efficiency of generalized kanban control policies by deriving qualitative properties as well as using experimental results on the behaviour of GKCS.

Details

International Journal of Operations & Production Management, vol. 15 no. 9
Type: Research Article
ISSN: 0144-3577

Keywords

Article
Publication date: 19 July 2013

Zhixiang Chen and Li Li

The purpose of this paper is to study the information support technologies of integrated production planning control for OEM (original equipment manufacturer) driven networked…

1599

Abstract

Purpose

The purpose of this paper is to study the information support technologies of integrated production planning control for OEM (original equipment manufacturer) driven networked manufacturing systems, and offer implications to firms for implementing networked manufacturing.

Design/methodology/approach

OEM driven networked manufacturing and its operations modes and support technologies are first discussed. Then, integration framework of production planning and control is proposed and relative technologies are discussed. Finally, a case of the application of information support technologies in networked manufacturing is illustrated.

Findings

Both theory analysis and case experience show that information integration and sharing are critical for effective operations of OEM driven networked manufacturing and an integrated production planning and control system can benefit firms for successfully operating a networked manufacturing system.

Practical implications

It is valuable to develop and apply integrated production planning and control systems in OEM driven networked manufacturing, Firms should pay more attention to information sharing and communication with partners and utilize advanced information technologies to synchronize the operations of partners.

Originality/value

Integration framework of production planning and control proposed in this paper has originality and the technology strategies are also practical. Managerial ideas, technology framework and application strategies of integrated production planning and control are helpful for firms to implement OEM driven networked manufacturing.

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