Dispatching rule for non-identical parallel machines with sequence-dependent setups and quality restrictions

Ko, Hyo-Heon; Kim, Jihyun; Kim, Sung-Shick; Baek, Jun-Geol

doi:10.1016/j.cie.2010.05.017

Cited by 14 publications

(6 citation statements)

References 20 publications

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“…They developed Goal Programming model in which parts, machines, and workers are grouped and showed the efficient utilization performance. Ko et al (2010) suggested the job dispatching rule based on product quality index and simultaneously focused on meeting due dates. Van der Zee (2013) considered FBD based on batch availability in shop i.e., the jobs of same batch become available for processing and leave the machine together.…”

Section: Literature Reviewmentioning

confidence: 99%

Holonic supply chain: A study from family-based manufacturing perspective

Dev

Shankar

Dey

et al. 2014

Computers & Industrial Engineering

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In the contemporary business environment, to adhere to the need of the customers, caused the shift from mass production to mass-customization. This necessitates the supply chain (SC) to be effective flexible. The purpose of this paper is to seek flexibility through adoption of family- * Corresponding Author, Email: navinkumardev@yahoo.com Tel. No. 09412425551 2 based dispatching rules under the influence of inventory system implemented at downstream echelons of an industrial supply chain network. We compared the family-based dispatching rules in existing literature under the purview of inventory system and information sharing within a supply chain network. The dispatching rules are compared for Average Flow Time performance, which is averaged over the three product families. The performance is measured using extensive discrete event simulation process. Given the various inventory related operational factors at downstream echelons, the present paper highlights the importance of strategically adopting appropriate family-based dispatching rule at the manufacturing end. In the environment of mass customization, it becomes imperative to adopt the family-based dispatching rule from the system wide SC perspective. This warrants the application of intra as well as inter-echelon information coordination. The holonic paradigm emerges in this research stream, amidst the holistic approach and the vital systemic approach. The present research shows its novelty in triplet. Firstly, it provides leverage to manager to strategically adopting a dispatching rule from the inventory system perspective. Secondly, the findings provide direction for the attenuation of adverse impact accruing from demand amplification (Bullwhip effect) in the form of inventory levels by appropriately adopting family-based dispatching rule. Thirdly, the information environment is conceptualized under the paradigm of Koestler's holonic theory. IntroductionIn the contemporary business environment, to adhere to the need of the customers, whose role has changed from a consumer to prosumer, that is, the saturation of markets with standardized products have pushed the customer towards the search for higher levels of differentiation and personalization of products. This behavior of customer has lead to an environment where most manufacturing companies shift from mass production to mass-customization (Dominici, 2008). Further, the manufacturing companies have realized that their performance with specific goals cannot be met adequately if operated in isolation. The spread of IT technology made it possible for the firms to seamlessly access the knowledge base, communicate, and negotiate with other echelon, which are autonomous with specific goals and resources. The ability to respond to customer orders in a timely fashion can provide a critical competitive advantage. These challenges warrant the needs for agility that are able to: a) suitably react to the market environment's instability; b) coordinate production system through the adoption of IT technologies; ...

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Section: Literature Reviewmentioning

confidence: 99%

Holonic supply chain: A study from family-based manufacturing perspective

Dev

Shankar

Dey

et al. 2014

Computers & Industrial Engineering

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show abstract

“…The authors propose a tabu search method for this task. Ko et al (2010) propose a dispatching rule for minimizing mean tardiness subject to constraint regarding the quality of the completed jobs in a system that involves dissimilar parallel machines and sequence-dependent setups. The no-wait flow-shop scheduling problem with sequencedependent setups and the objective of minimizing makespan is considered in Nagano et al (2014).…”

Section: Related Workmentioning

confidence: 99%

Cluster analysis and neural network-based metamodeling of priority rules for dynamic sequencing

Xanthopoulos

Koulouriotis

2015

J Intell Manuf

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Most sequencing problems deal with deterministic environments where all information is known in advance. However, in real-world problems multiple sources of uncertainty need to be taken into consideration. To model such a situation, in this article, a dynamic sequencing problem with random arrivals, processing times and due-dates is considered. The examined system is a manufacturing line with multiple job classes and sequence-dependent setups. The performance of the system is measured under the metrics of mean WIP, mean cycle time, mean earliness, mean tardiness, mean absolute lateness, and mean percentage of tardy jobs. Twelve job dispatching rules for solving this problem are considered and evaluated via simulation experiments. A statistically rigorous analysis of the solution approaches is carried out with the use of unsupervised and supervised learning methods. The cluster analysis of the experimental results identified classes of priority rules based on their observed performance. The characteristics of each priority rule class are documented and areas in objective space not covered by existing rules are identified. The functional relationship between sequencing priority rules and performance metrics of the production system was approximated by artificial neural networks. Apart from gaining insight into the mechanics of the sequencing approaches the results of this article can be used (1) as a component for prediction systems of dispatching rule output, (2) as a guideline for building new dispatching heuristic with entirely different characteris-B A. S. Xanthopoulos tics than existing ones, (3) to significantly decrease the length of what-if simulation studies.

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“…A finite element method is used to simulate the tool path at different spindle speeds. Moreover, chatter can occur in various metal removal including drilling [26][27][28][29][30] operations.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2017

J. Prod. Eng.

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Journal of Production Engineering dates back to 1984, when the first issue of the Proceedings of the Institute of Production Engineering was published in order to present its accomplishments. In 1994, after a decade of successful publication, the Proceedings changed the name into Production Engineering, with a basic idea of becoming a Yugoslav journal which publishes original scientific papers in this area. In 2009 year, our Journal finally acquires its present title-Journal of Production Engineering. To meet the Ministry requirements for becoming an international journal, a new international editorial board was formed of renowned domestic and foreign scientists, refereeing is now international, while the papers are published exclusively in English. From the year 2011 Journal is in the data base Google scholar, COBISS and KoBSON presented. The Journal is distributed to a large number of recipients home and abroad, and is also open to foreign authors. In this way we wanted to heighten the quality of papers and at the same time alleviate the lack of reputable international and domestic journals in this area.

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Dispatching rule for non-identical parallel machines with sequence-dependent setups and quality restrictions

Cited by 14 publications

References 20 publications

Holonic supply chain: A study from family-based manufacturing perspective

Holonic supply chain: A study from family-based manufacturing perspective

Cluster analysis and neural network-based metamodeling of priority rules for dynamic sequencing

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