Finite scheduling of collaborative design and manufacturing activity: a Petri net approach

Bareduan, Salleh Ahmad; Hasan, Sulaiman; Ariffin, Saparudin

doi:10.1108/17410380810847954

Cited by 5 publications

(6 citation statements)

References 12 publications

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“…Manufacturers are forced to provide products with high quality as well as low prices in the right time [2]. Challenges for a manufacturer in today global environment includes short product life cycle, product varieties, minimal inventories, concurrent processing of different products, short delivery times [3], well informed and demanding customer [1], mass customization, and short lived market opportunities [4]. That is why manufacturing companies need to continuously make an innovation and adapt their business to survive and meet the fast changing market environment.…”

Section: Introductionmentioning

confidence: 99%

“…There are several solution have been offered by some researchers for above challenges which are improving product cycles, reducing cost, communicate and work concurrently in the enterprise network [1], working together and establishing partner in a collaboration network [3], internationalisation, operate in different country or develop global strategies for operation coordination [2]. It seems that coordination of activities in a network become urgent to respond the fast changing environment [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Identifying Model for Decision Making Process in a Collaborative Manufacturing Network Environment

Firmansyah¹,

Djafar²

2018

EPI-IJE

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In order to be competitive through globalisation and free trade agreements, Small Manufacturing Enterprises must provide a high quality products at a competitive price at the right time. But inadequate resources of the enterprises have prevented them to remain competitive. Therefore they need to innovate and find new ways to overcome these challenges. Collaborative Manufacturing Network (CMN) is a way forward to address these challenges. However, the process of collaboration is not a simple process. Instead, it is a complex and very dynamic process since there are many factors involved that need to be considered for the establishment of a successful collaboration. Many researches have been conducted in this area of CMN, but there are still numerous unsolved problems identified. Decision making issues and formulating business collaboration model in a context of CMN are two such issues. This research tries to identify the problems faced in a CMN environment, stress on the importance of building a model based on the consideration of aspects involved in a CMN and then identifying model for decision making process in a CMN Environment.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identifying Model for Decision Making Process in a Collaborative Manufacturing Network Environment

Firmansyah¹,

Djafar²

2018

EPI-IJE

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“…This might mean that the enterprises have to produce small lot sizes using general purpose machines to cater larger variety of products. When such a situation is coupled with the need to address quality, taxes, green manufacturing, and delivery requirements, sustenance of the enterprise becomes difficult (Rehman et al , 2016; Bareduan et al , 2008; Mohanty et al , 2007; Seth and Tripathi, 2006; Seth et al , 2008). This type of situation results in high unit cost due to poor utilization (Bareduan et al , 2008; Wang et al , 2014).…”

Section: Introductionmentioning

confidence: 99%

“…When such a situation is coupled with the need to address quality, taxes, green manufacturing, and delivery requirements, sustenance of the enterprise becomes difficult (Rehman et al , 2016; Bareduan et al , 2008; Mohanty et al , 2007; Seth and Tripathi, 2006; Seth et al , 2008). This type of situation results in high unit cost due to poor utilization (Bareduan et al , 2008; Wang et al , 2014). Therefore, the study proposed here can become important to the manufacturing enterprises.…”

Section: Introductionmentioning

confidence: 99%

Application of Petri nets towards improved utilization of machines in job shop manufacturing environments

Pachpor¹,

Shrivastava

Seth

et al. 2017

JMTM

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Purpose The purpose of this paper is to demonstrate the use of Petri nets in a job shop setup for the improvement in the utilization of machines. Design/methodology/approach The study discusses concepts such as reachable state, token and matrix equations set, and demonstrates the improvements in machines’ utilization in a job shop. It makes use of algorithms to generate reachable markings to obtain utilization. The study not only describes the application of theory, but also extends the body of knowledge on Petri nets and job shops. Findings In this study, machines’ utilization has been studied in a job shop with six machines and eight products. The study finds that substantial utilization improvement in job shop set up can be obtained through the application of Petri nets. The study also exposes that Petri nets are mostly used for machines, jobs and tools scheduling problems, but its use in machines’ utilization is neglected. The framework and application presented here along with generalizable findings, is the first to report about machine utilization improvement in job shop manufacturing environment. Practical implications Job shops are characterized by high unit production cost, low investments, low volume and high variety, complex flows, flexible and skilled work force, general purpose machines, high material handling; resulting in poor utilization of machines. Therefore, the findings of this study can help in reducing such costs through better machine utilization. This can help in increasing the competitiveness of the companies. Originality/value The contribution of study lies in investigating and improving stage wise utilization in a job shop setup. It has never been reported before.

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“…The recommended job sequence by using BAM3 index is therefore CFDBAE. The makespan for this sequence can be computed using the conventional start and stop time analysis corresponding to the CMC re-entrant flow shop with strict permutation rule as described by [17]. The result indicates that CFDBAE job sequence generates a makespan of 649 hours.…”

Section: P(4a) + P(5a) + P(6a)}-{p(1e) + P(2e) + P(3e)}= (12+16mentioning

confidence: 99%

Bottleneck adjacent matching 3 (BAM3) heuristic for re-entrant flow shop with dominant machine

Bareduan

Hasan

2008

2008 IEEE International Conference on Industrial Engineering and Engineering Management

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-This paper presents a scheduling heuristic to minimize the makespan of a re-entrant flow shop using bottleneck analysis. The heuristic is specifically intended for the cyber manufacturing centre (CMC) which is an Internetbased collaborative design and manufacturing between the Universiti Tun Hussein Onn Malaysia and the small and medium enterprises. The CMC processes scheduling resembles a four machine permutation re-entrant flow shop with the process routing of M1,M2,M3,M4,M3,M4 in which the first process at M1 has high tendency of exhibiting dominant characteristic. It was shown that using bottleneckbased analysis, an effective constructive heuristic can be developed to solve for near-optimal scheduling sequence. At strong machine dominance level and medium to high job numbers, this heuristic shows slightly better makespan performance compared to the NEH. However, for smaller job numbers, NEH is superior.

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Finite scheduling of collaborative design and manufacturing activity: a Petri net approach

Cited by 5 publications

References 12 publications

Identifying Model for Decision Making Process in a Collaborative Manufacturing Network Environment

Identifying Model for Decision Making Process in a Collaborative Manufacturing Network Environment

Application of Petri nets towards improved utilization of machines in job shop manufacturing environments

Bottleneck adjacent matching 3 (BAM3) heuristic for re-entrant flow shop with dominant machine

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