Improving service contract management with availability and negotiation

Husniah, Hennie; Supriatna, Asep Deddy; Iskandar, Bermawi P.

doi:10.1201/b18146-73

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…Some examples of such importance can be seen in [11][12][13][14][15][16] from various perspectives. It is often found that most of the problems in maintenance engineering are finding optimal strategies that minimize the cost of operation to manipulate the system as well as minimize the number of failures of the system (e.g., [17]). In many cases, the number of failures is represented in its distribution function.…”

Section: Literature Reviewmentioning

confidence: 99%

Computing the Number of Failures for Fuzzy Weibull Hazard Function

Husniah

Supriatna

2021

Mathematics

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The number of failures plays an important factor in the study of maintenance strategy of a manufacturing system. In the real situation, this number is often affected by some uncertainties. Many of the uncertainties fall into the possibilistic uncertainty, which are different from the probabilistic uncertainty. This uncertainty is commonly modeled by applying the fuzzy theoretical framework. This paper aims to compute the number of failures for a system which has Weibull failure distribution with a fuzzy shape parameter. In this case two different approaches are used to calculate the number. In the first approach, the fuzziness membership of the shape parameter propagates to the number of failures so that they have exactly the same values of the membership. While in the second approach, the membership is computed through the α-cut or α-level of the shape parameter approach in the computation of the formula for the number of failures. Without loss of generality, we use the Triangular Fuzzy Number (TFN) for the Weibull shape parameter. We show that both methods have succeeded in computing the number of failures for the system under investigation. Both methods show that when we consider the function of the number of failures as a function of time then the uncertainty (the fuzziness) of the resulting number of failures becomes larger and larger as the time increases. By using the first method, the resulting number of failures has a TFN form. Meanwhile, the resulting number of failures from the second method does not necessarily have a TFN form, but a TFN-like form. Some comparisons between these two methods are presented using the Generalized Mean Value Defuzzification (GMVD) method. The results show that for certain weighting factor of the GMVD, the cores of these fuzzy numbers of failures are identical.

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Section: Literature Reviewmentioning

confidence: 99%

Computing the Number of Failures for Fuzzy Weibull Hazard Function

Husniah

Supriatna

2021

Mathematics

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“…Quantitative studies about warranty, maintenance outsourcing and maintenance contracts are present by Kim et al [18], Bouguerra et al [3], Husniah et al [14], Huang et al [13], Moura et al [23] and Darghouth et al [6]. However, such studies have simplifying assumptions with respect to the state of the system after a corrective maintenance (CM) intervention.…”

Section: Science and Technologymentioning

confidence: 99%

Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

Santana

Santiago

Moura

et al. 2018

Eksploatacja i Niezawodność – Maintenance and Reliability

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Article citation info: instance, it is estimated that an amount of US$ 24.83 billion will be annually spent in the medical equipment maintenance market by 2022 [20]. However, maintenance outsourcing for medical equipment is yet to be fully explored by current research (Cruz & Rincon [5]).Warranty policies define responsibilities for both parties: the OEM and hospital managers. Indeed, the OEM is responsible for repairing the devices' eventual failures related to problems of equipment design, manufacturing and/or quality. The customers in turn should make proper use of equipment, i.e., they must comply to the specifications defined by the OEM (Rahman & Chattopadhyay [32]).Given that, a new trend has been intensified by manufacturers, selling an additional, optional coverage, which begins after the expiration of the base warranty, called Extended Warranty (EW) (Murthy

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“…In this paper we reconstruct their finding by investigating the alternative system, i.e. equations (7)(8) via dynamical system approach to study the long-term behaviour of the system. The following propositions are the results derived by investigating the critical points of the systems via linearization method (see [12] : p. 168 for an introductory).…”

Section: Raz and Assa Coupled Logistic Modelmentioning

confidence: 99%

“…In general, mathematical modeling has been widely accepted as one approach in attacking complicated problems in many areas of industrial engineering research (e.g. [6,7,9,8,1,17]). However, despite numerous works on technology transfer, to date the use of mathematical modeling in this area is still limited.…”

Section: Introductionmentioning

confidence: 99%

A Dynamical System Approach in Modeling Technology Transfer

Husniah¹,

Sebrina²,

Supriatna

2016

JIMS

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Abstract. In this paper we discuss a mathematical model of two parties technology transfer from a leader to a follower. The model is reconstructed via dynamical system approach from a known standard Raz and Assa model and we found some important conclusion which have not been discussed in the original model. The model assumes that in the absence of technology transfer from a leader to a follower, both the leader and the follower have a capability to grow independently with a known upper limit of the development. We obtain a rich mathematical structure of the steady state solution of the model. We discuss a special situation in which the upper limit of the technological development of the follower is higher than that of the leader, but the leader has started earlier than the follower in implementing the technology. In this case we show a paradox stating that the follower is unable to reach its original upper limit of the technological development could appear whenever the transfer rate is sufficiently high. We propose a new 'paradox-free' model to increase realism so that any technological transfer rate could only has a positive effect in accelerating the rate of growth of the follower in reaching its original upper limit of the development.Key words and Phrases: Dynamical system, technology transfer, knowledge management, logistic curve. Abstrak. Di dalam makalah ini dibahas sebuah model matematika mengenai transfer teknologi dari seorang individu atau suatu parti yang disebut leader kepada seorang individu atau suatu parti yang disebut follower. Model tersebut direkonstruksi melalui pendekatan sistem dinamik dari model standar Raz-Assa yang sudah dikenal. Hasil analisis model memperlihatkan sebuah sifat dari model hasil rekonstruksi yang tidak ada dalam bahasan model aslinya. Model Raz-Assa mengasumsikan bahwa ketika tidak ada transfer teknologi, masing-masing individu atau parti mempunyai kapasitas untuk berkembang secara independen menuju batas atas yang diketahui. Selain itu juga diperlihatkan sifat-sifat solusi setimbang dari model tersebut di atas. Kemudian juga dibahas situasi khusus di mana follower mempunyai batas atas perkembangan yang lebih tinggi dibandingkan dengan leader, namun terlambat dalam implementasi teknologi terkait dibandingkan dengan leader tersebut. Dalam situasi seperti ini akan diperlihatkan suatu paradox di mana follower tidak akan pernah mencapai batas atas kapasitasnya apabila laju transfer teknologi terlalu tinggi. Untuk mengatasi paradox ini sebuah model baru diperkenalkan, sehingga laju transfer teknologi selalu memberikan efek positif terhadap follower dalam hal pencapaian batas atas pengembangan teknologinya.

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Improving service contract management with availability and negotiation

Cited by 3 publications

References 1 publication

Computing the Number of Failures for Fuzzy Weibull Hazard Function

Computing the Number of Failures for Fuzzy Weibull Hazard Function

Extended warranty of medical equipment subject to imperfect repairs: an approach based on generalized renewal process and Stackelberg game

A Dynamical System Approach in Modeling Technology Transfer

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