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Article
Publication date: 1 March 2001

Kostas S. Metaxiotis, John E. Psarras and Dimitris Askounis

In this paper we consider the use of ontologies as the basis for structuring and simplifying the process of constructing real‐time problem‐solving tools, focusing…

Abstract

In this paper we consider the use of ontologies as the basis for structuring and simplifying the process of constructing real‐time problem‐solving tools, focusing specifically on the task of production scheduling. In spite of the commonality in production scheduling system requirements and design, different scheduling environments invariably present different challenges (e.g. different constraints, different objectives, different domain structure, etc.). The proposed methodology for building ontologies used for production scheduling systems represents a synthesis of extensive work in developing constraint‐based scheduling models for a wide range of applications in manufacturing and production planning. Since the effective modeling is one of the most important and difficult steps in the development of reliable information systems, and taking into consideration the fact that the general problem of the production scheduling in the industries is very difficult and still unsolved, one can easily estimate the merit of this methodology.

Details

Information Management & Computer Security, vol. 9 no. 1
Type: Research Article
ISSN: 0968-5227

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Article
Publication date: 1 October 1996

Paul P.M. Stoop and Vincent C.S. Wiers

Successful implementations of scheduling techniques in practice are scarce. Not only do daily disturbances lead to a gap between theory and practice, but also the extent…

Abstract

Successful implementations of scheduling techniques in practice are scarce. Not only do daily disturbances lead to a gap between theory and practice, but also the extent to which a scheduling technique can adequately model the processes on the shopfloor, and the extent to which the optimization goal of a technique matches the organizational goal are not great enough. Further, the schedulers’ actions may play an important role in the fulfilment of the generated schedules. The organizational structure with its different responsibilities and conflicting goals may also result in the poor performance of scheduling techniques. Besides these, there is the problem of measuring the quality of a schedule. Discusses the causes for these gaps and illustrates the solutions to improve scheduling by way of a case study.

Details

International Journal of Operations & Production Management, vol. 16 no. 10
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 21 October 2013

Shahrul Kamaruddin, Zahid A. Khan, Arshad Noor Siddiquee and Yee-Sheng Wong

As the manufacturing activities in today's industries are getting more and more complex, it is required for the manufacturing firm to have a good shop floor production

Abstract

Purpose

As the manufacturing activities in today's industries are getting more and more complex, it is required for the manufacturing firm to have a good shop floor production scheduling to plan and schedule their production orders. An accurate scheduling is essential to any manufacturing firm in order to be competitive in global market. The paper aims to discuss these issues.

Design/methodology/approach

Two types of shop floors, job shop and cellular layout, were developed by using WITNESS simulation package. Consequently, the performance of forward scheduling and backward scheduling in both job shop and cellular layout was compared using simulation method, and the results were analyzed by using analysis of variance (ANOVA). Through analysis, the best scheduling approach and layout to be used by manufacturing firm in order to achieve the make-to-order (MTO) production and inventory strategy were reported.

Findings

The results from simulation show that backward scheduling in job shop layout has the lowest average throughput time, lowest lateness, and highest labour productivity than forward scheduling. While in cellular layout, forward scheduling has the lowest average throughput time, lowest lateness, and highest labour productivity than backward scheduling in all conditions. It shows that the performance of scheduling approach is different in each production layout.

Originality/value

Suitable scheduling approach is needed in manufacturing industry as to maximize production rate and optimize machine and process capability. This paper presents an empirical study about the assembly process of radio cassette player of one manufacturing industry in order to investigate the impact of variety of orders and different number of two workers on the performance of production scheduling approach. Forward scheduling and backward scheduling are used to schedule the production orders.

Details

Journal of Manufacturing Technology Management, vol. 24 no. 8
Type: Research Article
ISSN: 1741-038X

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Article
Publication date: 1 April 2003

Kostas S. Metaxiotis, John E. Psarras and Kostas A. Ergazakis

In the current competitive environment, each company faces a number of challenges: quick response to customers’ demands, high quality of products or services, customers…

Abstract

In the current competitive environment, each company faces a number of challenges: quick response to customers’ demands, high quality of products or services, customers’ satisfaction, reliable delivery dates, high efficiency, and others. As a result, during the last five years many firms have proceeded to the adoption of enterprise resource planning (ERP) solutions. ERP is a packaged software system, which enables the integration of operations, business processes and functions, through common data‐processing and communications protocols. However, the majority, if not all, of these systems do not support the production scheduling process that is of crucial importance in today’s manufacturing and service industries. In this paper, the authors propose a knowledge‐based system for productionscheduling that could be incorporated as a custom module in an ERP system. This system uses the prevailing conditions in the industrial environment in order to select dynamically and propose the most appropriate scheduling algorithm from a library of many candidate algorithms.

Details

Business Process Management Journal, vol. 9 no. 2
Type: Research Article
ISSN: 1463-7154

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Article
Publication date: 1 August 1995

Michel Nakhla

Analyses the problems of production scheduling in the dairy productindustry where variety and sell‐by date constraints have to be takeninto account. Using the…

Abstract

Analyses the problems of production scheduling in the dairy product industry where variety and sell‐by date constraints have to be taken into account. Using the formalization of priorities as a basis, attempts to demonstrate that a thorough understanding of the relation between a formal scheduling model and its implementation permits one to grasp the profound changes in industrial processing systems at present. With this analysis new representations of possible changes can be created and the idea of a transformation of work organization based on a new form of production management can be developed.

Details

International Journal of Operations & Production Management, vol. 15 no. 8
Type: Research Article
ISSN: 0144-3577

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Article
Publication date: 1 June 2000

Chung‐Hsing Yeh

Presents a customer‐focused approach to effective planning of make‐to‐order production, in which production activities are driven by customer orders and all products are…

Abstract

Presents a customer‐focused approach to effective planning of make‐to‐order production, in which production activities are driven by customer orders and all products are made to customers’ specifications. The approach plans, schedules, and co‐ordinates production activities, based on the needs of individual customer orders. In particular, an integrated bill of material and routeing data structure is used to effectively organise production data in response to product specifications of customer orders. It facilitates the creation of production jobs with varying routeings and material requirements. A job‐oriented finite capacity scheduling system is used to effectively accommodate specific needs of individual customer orders. It allows for realistic setting of delivery dates and negotiation of order changes. Key features of the approach presented show its effectiveness in planning multi‐item customer orders and multi‐level products.

Details

Industrial Management & Data Systems, vol. 100 no. 4
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 18 July 2019

Rok Cajzek and Uroš Klanšek

The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs).

Abstract

Purpose

The purpose of this paper is cost optimization of project schedules under constrained resources and alternative production processes (APPs).

Design/methodology/approach

The model contains a cost objective function, generalized precedence relationship constraints, activity duration and start time constraints, lag/lead time constraints, execution mode (EM) constraints, project duration constraints, working time unit assignment constraints and resource constraints. The mixed-integer nonlinear programming (MINLP) superstructure of discrete solutions covers time–cost–resource options related to various EMs for project activities as well as variants for production process implementation.

Findings

The proposed model provides the exact optimal output data for project management, such as network diagrams, Gantt charts, histograms and S-curves. In contrast to classic scheduling approaches, here the optimal project structure is obtained as a model-endogenous decision. The project planner is thus enabled to achieve optimization of the production process simultaneously with resource-constrained scheduling of activities in discrete time units and at a minimum total cost.

Practical implications

A set of application examples are addressed on an actual construction project to display the advantages of proposed model.

Originality/value

The unique value this paper contributes to the body of knowledge reflects through the proposed MINLP model, which is capable of performing the exact cost optimization of production process (where presence and number of activities including their mutual relations are dealt as feasible alternatives, meaning not as fixed parameters) simultaneously with the associated resource-constrained project scheduling, whereby that is achieved within a uniform procedure.

Details

Engineering, Construction and Architectural Management, vol. 26 no. 10
Type: Research Article
ISSN: 0969-9988

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Article
Publication date: 5 May 2015

Yanting Ni and Yi Wang

In a mixed flow production environment, interactions between production planning and scheduling are critical for mixed flow distributed manufacturing management. The…

Abstract

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.

Details

Kybernetes, vol. 44 no. 5
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 June 1988

R.P. Mohanty

Historically, scheduling of production activities has been one of the most important management problems. Scheduling involves the planning and the co‐ordination of the…

Abstract

Historically, scheduling of production activities has been one of the most important management problems. Scheduling involves the planning and the co‐ordination of the various activities to achieve the optimum utilisation of resources over a given time period. Production scheduling differs with the typology of the production systems. Various production systems that are encountered in practice are: continuous production, mass production, batch production, job shop production and projects. In this article, we attempt only to discuss the project scheduling problems.

Details

Management Research News, vol. 11 no. 6
Type: Research Article
ISSN: 0140-9174

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Article
Publication date: 15 March 2011

C.Y. Lam and W.H. Ip

Scheduling needs to be concise and well‐determined but able to respond to the ever‐changing and uncertain market or environment against the constraints of production

Abstract

Purpose

Scheduling needs to be concise and well‐determined but able to respond to the ever‐changing and uncertain market or environment against the constraints of production capacity, resources, time frame, etc. The purpose of this paper is to model and solve a scheduling problem with another domain perspective that adopts the concept of agent, and an agent‐based scheduling environment is proposed for solving the scheduling problem, in which three agents are developed, i.e. a sales agent, a scheduling agent, and a production agent.

Design/methodology/approach

The modeling and development of the proposed agent‐based scheduling environment and its agents under constraints are discussed. Constraint priority scheduling concepts are applied to the environment and its agents, and the feature of responding to customer change orders is included in the model. The proposed agent‐based scheduling environment with three agents is applied to a lamp‐manufacturing company in China as a case study, and the integrated agent‐based approach is also illustrated in the case study.

Findings

Throughout the autonomous communication between agents in the proposed model, a constraint‐prioritized schedule is generated to fulfill customer orders and customer change orders, as well as to achieve a better scheduling performance result. From the simulation results and analysis in the case study, satisfactory results show that the proposed model can generate a constraint‐prioritized schedule for the studied company that can completely fulfill customer orders, adjust and fulfill customer change orders, and achieve a better scheduling result.

Originality/value

In this paper, the scheduling problem is modeled and solved by using the domain perspective of agent‐based approach. By using an agent‐based approach, the agents can be implemented to represent manufacturing resources or aggregations of resources. Under the proposed modeling approach, the collaboration across the entire scheduling activities can be enhanced, and the efficiency and effectiveness in the scheduling activities can also be increased.

Details

Industrial Management & Data Systems, vol. 111 no. 2
Type: Research Article
ISSN: 0263-5577

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