Optimal decision making in a maintenance service operation

Murthy, D. N. P.; Asgharizadeh, Ezzatollah

doi:10.1016/s0377-2217(98)90202-8

Cited by 116 publications

(42 citation statements)

References 4 publications

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“…age and block. (See among others, Barlow and Campo, 1975;Bergman, 1977;Murthy and Asgharizadeh, 1999;Sherwin, 2000;Campbell and Jardine, 2001;Marquez and Heguedas, 2002;Wang, 2002. ) Furthermore, there are sets of rules such as the systematic approach of maintenance planning applied by reliability-centred maintenance (RCM) for selecting the suitable maintenance action (Moubray, 1991;Smith, 1993).…”

Section: Maintenance Selection Methodsmentioning

confidence: 99%

Maintenance practices in Swedish industries: Survey results

Alsyouf

2009

International Journal of Production Economics

112

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a b s t r a c tThe purpose of this paper is to investigate the maintenance practices that are used in Swedish industry. The study was performed by conducting a cross-sectional survey within Swedish firms that have at least 100 employees. The main results achieved from the study show that the role of maintenance is not highly recognised. There is a need to spend and invest more in maintenance, which is considered by the majority of Swedish industries as a necessary expense. Although about 13% of the maintenance department time is spent on planning maintenance tasks, nevertheless, about one third of the time is spent on unplanned tasks. There is a need for more adoption of maintenance concepts such as total productive maintenance (TPM) and reliability-centred maintenance (RCM). The lack or ineffectiveness of planning and scheduling can significantly restrict the maintenance department in achieving its objectives and can thus prevent the company from maximising business profits and offering competitive advantages.

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Section: Maintenance Selection Methodsmentioning

confidence: 99%

Maintenance practices in Swedish industries: Survey results

Alsyouf

2009

International Journal of Production Economics

112

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“…The optimal contract prices are calculated based on the customer's unit revenue rate of workable equipment time. Murthy and Asgharizadeh (1999) and Ashgarizadeh and Murthy (2000) study the optimal decisions of one or more equipment owners and a service provider in terms of right choices of contract, contract prices, and service channels. Rinsaka and Sandoh (2006) extend the work of Murthy and Asgharizadeh (1999) to the time after the initial warranty period.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Murthy and Asgharizadeh (1999) and Ashgarizadeh and Murthy (2000) study the optimal decisions of one or more equipment owners and a service provider in terms of right choices of contract, contract prices, and service channels. Rinsaka and Sandoh (2006) extend the work of Murthy and Asgharizadeh (1999) to the time after the initial warranty period. Within a multi-stage decision making framework, Hartman and Laksana (2009) examine the optimal strategies for equipment owners with regards to the types of extended warranty contracts as well as pricing policies.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal design of uptime-guarantee contracts under IGFR valuations and convex costs

Hezarkhani

2017

European Journal of Operational Research

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An uptime-guarantee contract commits a service provider to maintain the functionality of a customer's equipment at least for certain fraction of working time during a contracted period. This paper addresses the optimal design of uptime-guarantee contracts for the service provider when the customer's valuation of a contract with a given guaranteed uptime level has an Increasing Generalized Failure Rate (IGFR) distribution. We first consider the case where the service provider proposes only one contract and characterize the optimal contract in terms of price as well as guaranteed uptime level assuming that the service provider's cost function is convex. In the second part, the case where the service provider offers a menu of contracts is considered. Given the guaranteed uptime levels of different contracts in the menu, we calculate the corresponding optimal prices. We also give the necessary and sufficient conditions for the existence of optimal contract menus with positive expected profits.

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“…Pada kondisi ini, melakukan in-house maintenance service bukan solusi yang ekonomis lagi. Alternatif lain adalah dengan melakukan maintenance out sourcing dengan keuntungan selain dapat menjamin ketersediaan maksimum juga lebih ekonomis (Murthy dan Ashgarizadeh, [28]; Ashgarizadeh dan Murthy [29]; Rinsaka dan Sandoh, [30]). …”

Section: * Penulis Korespondensiunclassified

Potensi Kebijaksanaan Kontrak Pemeliharaan Mesin dalam Menunjang Keberhasilan Mekanisme Industri Pertanian

Husniah¹,

Pasaribu

Halim

et al. 2016

jti

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Abstract:In this paper we discuss a mathematical model of maintenance policy for certain type of agricultural equipments. It is assumed that the equipments are repairable and sold with twodimensional warranty, i.e. a warranty with two scales of limit, such as the age of the equipment and the usage of the equipment. As an example in the case of automobile, the warranty is cease whenever the age of the automobile reaches 5 years or its mileage reaches 50.000 km, whichever occurs first. The model is intended to provide the best contract-based preventive maintenance (PM) strategy chosen from available options. A method to determine the optimal cost of service contract, both from user and producer view points, is presented. Numerical simulations reveal that the resulting optimal strategy depends on the level of the consumer usage pattern. In this paper we show that the selection of optimal policy is potential in supporting the performance of mechanization in agricultural industry in terms of choosing the best strategy to maintain agricultural equipments effectively (is able to reduce the failure rate of the equipment) with a minimal cost. Keywords: Maintenance model; preventive maintenance; two-dimensional warranty; agricultural equipment. PendahuluanSeiring dengan meningkatnya skala industri pertanian, berbagai pekerjaan penting seperti persiapan tanah, penyemaian bibit, pemeliharaan tanaman, pemanenan, dan transportasi hasil industri sudah tidak dapat dilakukan lagi tanpa bantuan mesin, apabila ingin ada peningkatan efektivitas dan efisiensi pekerjaan (Rijk [1]). Pemakaian mesin pada industri pertanian sudah mulai dilakukan sejak awal abad ke 16 (animal-drawn) dan berkembang pesat sampai dengan akhir abad ke 19 dengan digunakannya mesin-mesin bertenaga uap. Mekanisasi ini menandai fase pertama dari revolusi pertanian. Selanjutnya Mazoyer dan Roudart [2] menyebutkan bahwa fase kedua terjadi saat memasuki abad ke 20 yang berbentuk motorisasi dari berbagai mesin pertanian. Di masa mendatang trend penggunaan peralatan bermesin/bermotor dalam pertanian masih terus akan meningkat mengingat kompleksitas pertanian yang juga meningkat (Kutzbach [3]). Review terkini mengenai mekanisasi dan motorisasi pertanian di berbagai negara terdokumentasi dalam berbagai literatur, misalnya Soni dan Ou [4] untuk kawasan Asia.

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Optimal decision making in a maintenance service operation

Cited by 116 publications

References 4 publications

Maintenance practices in Swedish industries: Survey results

Maintenance practices in Swedish industries: Survey results

Optimal design of uptime-guarantee contracts under IGFR valuations and convex costs

Potensi Kebijaksanaan Kontrak Pemeliharaan Mesin dalam Menunjang Keberhasilan Mekanisme Industri Pertanian

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