Allocation of service time in a two-server system

El-Taha, Muhammad

doi:10.1016/s0305-0548(02)00033-3

Cited by 10 publications

(19 citation statements)

References 21 publications

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“…In AHP, preferences between alternatives are determined by making pair-wise comparisons in which the decision maker examines two alternatives by considering one criterion and indicates a preference. These comparisons are made using a preference scale, which assigns numerical values to different levels of preference (Taha 2003). The standard preference scale used for AHP is 1-9 scale which lies between "equal importance" to "extreme importance" (Saaty 1989).…”

Section: Methodsmentioning

confidence: 99%

Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study

Astuti

Arkeman

Poerwanto

et al. 2014

OSCM: An Int. Journal

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Mangosteen (Garcinia mangostana L.) is the highly demanded fruit for export commodity from Indonesia. The biggest mangosteen production center in Indonesia is West Java Province. The development of the mangosteen supply chain in Indonesia, particularly in West Java Province is heavily affected by uncertain potential risks for the chain. This paper identifies potential risks of the supply chain and studies the interrelationships between strategies for mitigating those risks. Fuzzy Analytical Hierarchy Process (AHP) was utilized to identify the main risks then Interpretive Structural Modeling (ISM) was used to illustrate the interrelationship of those risks mitigations. Data were gathered through questionaires guided interviewing the experts of mangosteen business. Results show that the main risks of the chain to reach its goal are business relationships between partners and return on investment uncertainty. Horizontal coordination and trust building between partners should be considered to mitigate those risks as these strategies are found to have a strong driving power to influence others risks mitigation strategies. Improved coordination and trust building may advocate the Indonesian government to facilitate the provision of soft loans to agricultural businesses, which enables the farmers' cooperative to buy mangosteen in cash therewith improving their return on investment.

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Section: Methodsmentioning

confidence: 99%

Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study

Astuti

Arkeman

Poerwanto

et al. 2014

OSCM: An Int. Journal

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“…Finally, as discussed by El-Taha and Maddah (2006), high variability service time distributions also appear in repair facilities dealing with defects that require discernibly different repair times. For example, Kim and Yoo (2012), describe a real-world vending machine system with two modes of failures, minor and major, which yields high-variability repair times.…”

Section: Manuscript 1 Inmentioning

confidence: 87%

“…In this paper, we build on our earlier research (El-Taha andMaddah 2006, Maddah et al 2010) and develop a new scheme, based on arranging servers into multiple stations. Specifically, we consider a queueing system consisting of c servers and a Poisson arrival process.…”

Section: Manuscript 1 Inmentioning

confidence: 99%

A multi-station system for reducing congestion in high-variability queues

Maddah

Nasr

Charanek

2017

European Journal of Operational Research

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“…The pair-wised comparison is done such that one of the options is selected and the priority of both is measured [21]. In this process the numbers 1 to 9 are applied as a standard scale to determine the importance of the options (from equal importance to extremely high importance).…”

Section: Determining the Importance Of Criteria And Sub-criteriamentioning

confidence: 99%

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

Asadi¹,

Karami²

2017

CWEEE

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Limitation of fossil energy reserves in the world and increasing level of energy consumption, have always challenged human to replace new energy sources. Meanwhile, wind power as one of the new aspects of energy is of a special place. Due to the topography of the Sistan and Baluchistan province and its relative position, it is one of the best places to build wind farms. The aim of this study was to determine suitable locations for the construction of wind farms in the province. The following criteria were considered for various standards and due to the importance of data integration, Analytic Hierarchy Process (AHP) method was selected and implemented to weight the layer through Expert choice software. ArcGIS was used for layers spatial analysis and overlapping. After data analysis, the studied region, in terms of the susceptibility to build wind farms, was divided into four levels: excellent, good, fair, weak. Results indicated that GIS as a supportive and decision making system is helpful preparing data and modeling priorities and experts comments regarding various factors and help designers selecting a suitable place to build wind farms. In this study, we determined three priorities for the construction of wind farms, taking into account the limited overlap and conformity of limitations map and locating, the area of prioritized region, climate and the field observations; the priority order is excellent, good, average, including Zabol, central regions in Zabol and Chabahar.

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Allocation of service time in a two-server system

Cited by 10 publications

References 21 publications

Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study

Risks and Risks Mitigations in the Supply Chain of Mangosteen: A Case Study

A multi-station system for reducing congestion in high-variability queues

Locating of Wind Power Farms by Analytic Hierarchy Process Method (Case Study: Sistan and Baluchistan Province, Iran)

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