Search results

1 – 10 of over 7000
Article
Publication date: 3 February 2022

Juan Du, Yan Xue, Vijayan Sugumaran, Min Hu and Peng Dong

For prefabricated building construction, improper handling of the production scheduling for prefabricated components is one of the main reasons that affect project…

Abstract

Purpose

For prefabricated building construction, improper handling of the production scheduling for prefabricated components is one of the main reasons that affect project performance, which causes overspending, schedule overdue and quality issues. Prior research on prefabricated components production schedule has shown that optimizing the flow shop scheduling problem (FSSP) is the basis for solving this issue. However, some key resources and the behavior of the participants in the context of actual prefabricated components production are not considered comprehensively.

Design/methodology/approach

This paper characterizes the production scheduling of the prefabricated components problem into a permutation flow shop scheduling problem (PFSSP) with multi-optimization objectives, and limitation on mold and buffers size. The lean construction principles of value-based management (VBM) and just-in-time (JIT) are incorporated into the production process of precast components. Furthermore, this paper applies biogeography-based optimization (BBO) to the production scheduling problem of prefabricated components combined with some improvement measures.

Findings

This paper focuses on two specific scenarios: production planning and production rescheduling. In the production planning stage, based on the production factor, this study establishes a multi-constrained and multi-objective prefabricated component production scheduling mathematical model and uses the improved BBO for prefabricated component production scheduling. In the production rescheduling stage, the proposed model allows real-time production plan adjustments based on uncertain events. An actual case has been used to verify the effectiveness of the proposed model and the improved BBO.

Research limitations/implications

With respect to limitations, only linear weighted transformations are used for objective optimization. In regards to research implications, this paper considers the production of prefabricated components in an environment where all parties in the supply chain of prefabricated components participate to solve the production scheduling problem. In addition, this paper creatively applies the improved BBO to the production scheduling problem of prefabricated components. Compared to other algorithms, the results show that the improved BBO show optimized result.

Practical implications

The proposed approach helps prefabricated component manufacturers consider complex requirements which could be used to formulate a more scientific and reasonable production plan. The proposed plan could ensure the construction project schedule and balance the reasonable requirements of all parties. In addition, improving the ability of prefabricated component production enterprises to deal with uncertain events. According to actual production conditions (such as the occupation of mold resources and storage resources of completed components), prefabricated component manufacturers could adjust production plans to reduce the cost and improve the efficiency of the whole prefabricated construction project.

Originality/value

The value of this article is to provide details of the procedures and resource constraints from the perspective of the precast components supply chain, which is closer to the actual production process of prefabricated components. In addition, developing the production scheduling for lean production will be in line with the concept of sustainable development. The proposed lean production scheduling could establish relationships between prefabricated component factory manufacturers, transportation companies, on-site contractors and production workers to reduce the adverse effects of emergencies on the prefabricated component production process, and promote the smooth and efficient operation of construction projects.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 1 October 1999

Gerhard Plenert

Takes the development of a new optimization process for production scheduling and develops it into a systematic‐mathematical algorithm. Tests this algorithm against a…

1518

Abstract

Takes the development of a new optimization process for production scheduling and develops it into a systematic‐mathematical algorithm. Tests this algorithm against a simulated production environment and compares the generated schedules against those generated by EOQ, MRP, JIT, and OPT. The result is that bottleneck allocation methodology (BAM), with its critical resource based capacity scheduling out‐performs these other models in an intermittent demand discrete manufacturing environment.

Details

Logistics Information Management, vol. 12 no. 5
Type: Research Article
ISSN: 0957-6053

Keywords

Article
Publication date: 3 May 2016

Christopher Rose and Jenny Coenen

The purpose of this paper is to present a method for generating a set of feasible, optimized production schedules for the erection process of compact shipyards building…

Abstract

Purpose

The purpose of this paper is to present a method for generating a set of feasible, optimized production schedules for the erection process of compact shipyards building complex ship types.

Design/methodology/approach

A bi-objective mathematical model is developed based on the process constraints. A Pareto front of possible erection schedules is created using a the Non-dominated Sorting Genetic Algorithm II with a custom heuristic fitness function and constraint violation.

Findings

It was possible to consistently generate a wide variety of production schedules with superior performance to those manually created by shipyard planner in negligible computational time.

Practical implications

The set of optimized production schedules generated by the developed methodology can be used as a starting point by existing shipyard planners when drafting the initial erection planning for a new project. This allows the planners to consider wider variety of options in less time.

Originality/value

No other published approach for the automatic generation of optimized production schedules of the erection process is specifically tailored to the construction of complex ships.

Details

Journal of Manufacturing Technology Management, vol. 27 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 June 1994

J R Barker

Discusses a new manufacturing philosophy, Schedule‐basedManufacturing and compares it to the widely used Manufacturing ResourcePlanning [MRPII]. Looks at the history of…

376

Abstract

Discusses a new manufacturing philosophy, Schedule‐based Manufacturing and compares it to the widely used Manufacturing Resource Planning [MRPII]. Looks at the history of the various manufacturing philosophies and how they have developed. Describes how SBM grew from interactive real‐time shop floor scheduling and outlines its benefits.

Details

Assembly Automation, vol. 14 no. 2
Type: Research Article
ISSN: 0144-5154

Keywords

Article
Publication date: 22 February 2019

Maurizio Faccio, Mojtaba Nedaei and Francesco Pilati

The current study aims to propose a new analytical approach by considering energy consumption (EC), maximum tardiness and completion time as the primary objective…

Abstract

Purpose

The current study aims to propose a new analytical approach by considering energy consumption (EC), maximum tardiness and completion time as the primary objective functions to assess the performance of parallel, non-bottleneck and multitasking machines operating in dynamic job shops.

Design/methodology/approach

An analytical and iterative method is presented to optimize a novel dynamic job shop under technical constraints. The machine’s performance is analyzed by considering the setup energy. An optimization model from initial processing until scheduling and planning is proposed, and data sets consisting of design parameters are fed into the model.

Findings

Significant variations of EC and tardiness are observed. The minimum EC was calculated to be 141.5 hp.s when the defined decision variables were constantly increasing. Analysis of the optimum completion time has shown that among all studied methods, first come first served (FCFS), earliest due date (EDD) and shortest processing time (SPT) have resulted in the least completion time with a value of 20 s.

Originality/value

Considerable amount of energy can be dissipated when parallel, non-bottleneck and multitasking machines operate in lower-power modes. Additionally, in a dynamic job shop, adjusting the trend and arrangement of decision variables plays a crucial role in enhancing the system’s reliability. Such issues have never caught the attention of scientists for addressing the aforementioned problems. Therefore, with these underlying goals, this paper presents a new approach for evaluating and optimizing the system’s performance, considering different objective functions and technical constraints.

Article
Publication date: 1 December 2005

Shiu Hong Choi and Feng Yu Yang

The disjunctive graph is a network representation of the job‐shop scheduling problem, while the longest path problem (LPP) is one of the most important subjects in this…

Abstract

Purpose

The disjunctive graph is a network representation of the job‐shop scheduling problem, while the longest path problem (LPP) is one of the most important subjects in this research field. This paper aims to study the special topological structure of the disjunctive graph, and proposes a suite of quick value‐setting algorithms for solving the LPPs commonly encountered in job‐shop scheduling.

Design/methodology/approach

The topological structure of the disjunctive graph is analyzed, and some properties and propositions regarding LPPs are presented. Subsequently, algorithms are proposed for solving LPPs encountered in job‐shop scheduling.

Findings

The proposed algorithms significantly improve the efficiency of the shifting‐bottleneck procedure, making it practicable to realise real‐time scheduling and hence effective operations of modern manufacturing systems.

Originality/value

The paper demonstrates that it is possible to develop very efficient algorithms by imposing a special topological structure on the network.

Details

Journal of Manufacturing Technology Management, vol. 16 no. 8
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 1 January 2004

Ben Waller

Building to order enables manufacturing to better respond to market conditions. The time lost between changes in customer preferences and product mix disappears and…

3731

Abstract

Building to order enables manufacturing to better respond to market conditions. The time lost between changes in customer preferences and product mix disappears and customer demand can both be anticipated and shaped by the sales system. An automotive build to order supply chain must be able to meet seasonality within markets, and understand the detailed demand volatility for certain elements of the complex product mix, from which much of the profitability is derived. Market responsive manufacturing entails adaptive and flexible production and supply capability in conjunction with real‐time market interaction through revenue management. The combination of late capacity setting and revenue management can enable the whole extended enterprise to operate as a single entity. This article outlines the demand volatility examined for automotive products, integrated revenue and demand management as a solution, and the subsequent order system investment requirements.

Details

Journal of Manufacturing Technology Management, vol. 15 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

Article
Publication date: 18 August 2021

Samane Babaeimorad, Parviz Fattahi and Hamed Fazlollahtabar

The purpose of this paper is to present an integrated strategy for inventory control and preventive maintenance planning for a single-machine production system with…

Abstract

Purpose

The purpose of this paper is to present an integrated strategy for inventory control and preventive maintenance planning for a single-machine production system with increasing failure rates.

Design/methodology/approach

There are three scenarios for solving presented model. The strategy is such that the production component is placed under maintenance as soon as it reaches the m level or in the event of a malfunction earlier than m. Maintenance completion time is not predictable. As a result of periodic maintenance, a buffer stock h is held and the production component starts to produce from period A with the maximum throughput to satisfy demand and handle the shortage. A numerical algorithm to find the optimal policy is developed. The algorithm is implemented using MATLAB software.

Findings

The authors discovered that joint optimization mainly reduces production system costs. Cs is holding cost of a product unit during a unit of time. The authors consider two values for Cs, consist of, Cs = 1 and Cs = 2. By comparing the two cases, it is concluded that by reducing the cost from Cs = 2 to Cs = 1, the optimal scenario does not differ. The amount of decision variables decreases.

Originality/value

This paper is the provision of a model in which the shortage of back order type is considered, which greatly increases the complexity of the problem compared to similar issues. The methods for solving such problems are provided by the numerical algorithm, and the use of buffers as a way to compensate for the shortage in the event of a complete shutdown of the production line which is a very effective and efficient way to deal with customer loss.

Details

Journal of Quality in Maintenance Engineering, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 3 April 2007

Navadon Sortrakul and C. Richard Cassady

This paper seeks to improve solution procedures for solving a larger version of the integrated preventive maintenance planning and production scheduling model with a total…

1021

Abstract

Purpose

This paper seeks to improve solution procedures for solving a larger version of the integrated preventive maintenance planning and production scheduling model with a total weighted expected tardiness objective function introduced in a 2003 paper by Cassady and Kutanoglu using a genetic algorithm heuristic procedure.

Design/methodology/approach

In this paper, heuristics based on genetic algorithms are developed to solve the integrated model.

Findings

The performance of the proposed genetic algorithm heuristics are evaluated using multiple instances of several problem sizes. The results indicate that the proposed genetic algorithms can effectively be used to solve the integrated problem.

Practical implications

The heuristics presented in this paper significantly improve the ability of the decision‐maker to consider larger instances of the integrated model. One may ask, “how significant is that improvement?” The answer depends on the specific industrial context under consideration and the definition of a “job”.

Originality/value

Typically, production scheduling and preventive maintenance planning is planned and executed independently in spite of the inter‐dependent relationship between them. However, the 2003 paper by Cassady and Kutanoglu demonstrates the benefit of using the integrated model to solve these two problems simultaneously. However, their solution procedure is limited to small problems (6‐jobs or less). Therefore, this study intends to improve the solution procedure to solve larger instances of the problem.

Details

Journal of Quality in Maintenance Engineering, vol. 13 no. 1
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 1 April 2000

Patrick Walsh, Adamantios Koumpis and Orly Barziv

Builds on earlier work in developing the concept of information supply chains and the ways in which it can assist industrial organisations. Presents practical results that…

Abstract

Builds on earlier work in developing the concept of information supply chains and the ways in which it can assist industrial organisations. Presents practical results that stem from the conceptual modeling and simulation environment. Asserts that the ATLAS “A push Technology Leveraging Action for ‘Slingshot”’ initiative, which is already successfully employed in the financial services sector, would be ideal in many other sectors. Provides a case study of a pilot application of real time management of operations in an industrial enterprise using Slingshot in a company producing flexible packaging materials, Chatzopoulos S.A.

Details

Logistics Information Management, vol. 13 no. 2
Type: Research Article
ISSN: 0957-6053

Keywords

1 – 10 of over 7000