Optimal maintenance schedule decisions for machine tools considering the user's cost structure

Lad, Bhupesh Kumar; Kulkarni, Makarand S.

doi:10.1080/00207543.2011.632503

Cited by 37 publications

(22 citation statements)

References 28 publications

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“…Although the current observations, such as, visual inspection, non-destructive techniques for stress corrosion and fatigue cracks are done in the US Navy's P-3 Orion aircraft [14], but a fatigue life enhancement program has been employed to prolong its life for 10 years. A model has been proposed for obtaining optimal preventive repair and replacement intervals of a machine tool subassembly considering the user's cost structure and the effect of major overhauls [15]. It is calculated that about half of all operating costs of machining operations can be designated to repair and maintenance.…”

Section: Condition Based Maintenance (Cbm)mentioning

confidence: 99%

Condition based maintenance of machine tools—A review

Goyal

Pabla

2015

CIRP Journal of Manufacturing Science and Technology

125

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Section: Condition Based Maintenance (Cbm)mentioning

confidence: 99%

Condition based maintenance of machine tools—A review

Goyal

Pabla

2015

CIRP Journal of Manufacturing Science and Technology

125

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“…For minimal repair, NF ij can be calculated using formula Kutanoglu, 2003, 2005;Lad and Kulkarni, 2012;Purohit and Lad, 2016):…”

Section: Evaluation Of Atc and Aecmentioning

confidence: 99%

Integrated production and maintenance planning for parallel machine system considering cost of rejection

Kumar

Lad

2017

Journal of the Operational Research Society

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Production scheduling and maintenance planning have interdependencies but been often considered and optimized independently in practice and in the literature. Furthermore, product quality has direct relationship with maintenance planning. This paper proposes an integrated approach for production scheduling and maintenance planning for parallel machine system considering the effect of cost of rejection. The approach aims to determine optimal production schedule and maintenance plan such that overall operations cost is minimized. A simulation-based optimization approach is used to solve the problem. A numerical investigation is performed to illustrate the approach. The integrated approach shows between 0.6 and 35.8% improvement in term of overall operations cost over independent approach for various scenarios. The results indicate that simultaneous consideration of production scheduling and maintenance planning results into better system performance.

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“…Seven recent academic studies from years 2006 -2012 presenting LCC models including maintenance, have been mainly constructed to contain costs along the whole life cycle, designed only for the item in question and from the perspective of one company [1] - [7]. Our general item-level life-cycle model takes account of the point of view of all maintenance network members, i.e.…”

Section: A Step 1: Definition Of the Problem And Cost Elementsmentioning

confidence: 99%

“…A number of life-cycle cost (LCC) models for different kind of products, equipment, machines or systems can be found in the literature [1]- [8]. Although the demand for LCC models is commonly admitted, these models are still often very case-specific, suitable only for the item or the purpose of use in question.…”

Section: Introductionmentioning

confidence: 99%

Better maintenance decision making in business networks with a LCC model

Sinkkonen¹,

Ylä-Kujala²,

Kärri³

et al. 2014

Proceedings of Maintenance Performance Measurement and Management (MPMM) Conference 2014

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Outsourcing of maintenance operations has created new kind of decision-making situations. These situations require above all increased cost-awareness. Our industrial research partners have noticed in several occasions that there is a need for a common network-level tool which would enable the planning of maintenance operations. Most planning is even today made by each partner's own simple calculations or is based on the empirical knowledge of maintenance experts. Cooperation between the customer and the service provider is still rather uncommon. This article presents a life-cycle model that helps in planning maintenance operations better than previous models. Most models are very case-specific, suitable only for the item or the purpose of use in question. In many cases the models are quite theoretical and include complicated mathematical solutions, requiring special skills from the user. Usually the models have also been constructed for the needs of asingle company without a network perspective. Our general item level life-cycle model takes into account the point of view of all maintenance network members, it makes planning the future scenarios of maintenance operations together possible, and it provides a practical tool for daily use to reach cost and time savings in the whole network.

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Optimal maintenance schedule decisions for machine tools considering the user's cost structure

Cited by 37 publications

References 28 publications

Condition based maintenance of machine tools—A review

Condition based maintenance of machine tools—A review

Integrated production and maintenance planning for parallel machine system considering cost of rejection

Better maintenance decision making in business networks with a LCC model

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