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Showing 11 results for Type of Study: Applicable

Thomas Saaty,
Volume 1, Issue 2 (6-2009)

Zun-Quan Xia, Chun-Ling Song, Li-Wei Zhang,
Volume 1, Issue 2 (6-2009)

Mani Sharifi, Azizollah Memariani, Rasool Noorossanah,
Volume 1, Issue 2 (6-2009)

Nezam Mahdavi-Amiri, Seyed Hadi Nasseri, Alahbakhsh Yazdani,
Volume 1, Issue 2 (6-2009)

Seyed Taghi Akhavan Niaki, Mohammad Saber Fallah Nezhad,
Volume 1, Issue 2 (6-2009)

M.s. Fallah Nezhad, S.t.a. Niaki, E. Shahin,
Volume 4, Issue 2 (10-2013)

Our aim is to maximize expected profit per item of a multi-stage production system by determining best adjustment points of the equipments used based on technical product specifications defined by designer. In this system, the quality characteristics of items produced should be within lower and higher tolerance limits. When a quality characteristic of an item either falls beneath the lower limit or lies above the upper limit, it is reworked or classified as scrap, each with its own cost. A function of the expected profit per item is first presented based on equipment adjustment points. Then, the problem is modeled by a Markovian approach. Finally, numerical examples are solved in order to illustrate the proposed model.
N. Shirvani, S. Shadrokh,
Volume 4, Issue 2 (10-2013)

We focus on a three-stage supply chain problem for fast moving consumer goods including a supplier, a manufacturer and customers. There are different orders over identical cycles, to be processed in production site. The problem is to find a joint cyclic schedule of raw material procurement and job scheduling minimized the total cost comprised of raw material ordering cost and holding cost, production cost, holding cost of finished products, tardiness cost and rejection cost. An integrated mixed integer programing model is proposed and optimal solution of some instances are provided by solving the model.
A Forghani, F Dehghanian,
Volume 5, Issue 2 (10-2014)

In the face of budgetary limitations in organizations, identifying critical facilities for investing in quality improvement plans could be a sensible approach. In this paper, hierarchical facilities with specified covering radius are considered. If disruption happens to a facility, its covering radius will be decreased. For this problem, a bi-objective mathematical formulation is proposed. Critical facilities are equivalent to the facilities which attacking them causes the most reduction in the quality of the system performance. Consequently, this problem is studied in the interdiction problem framework. To solve the multi-objective model the weighting-sum approaches are applied. The first interdictorchr('39')s objective function helps decision makers to identify the vulnerability of the system. Moreover, the second objective function may assist in minimizing the cost of applied quality improvement plans.

Dr Saiedeh Gholami, Mr. Mahdi Jalalian, Dr Reza Ramezanian,
Volume 7, Issue 1 (4-2016)

In the past decade, fuel consumption and CO2 emission have increased in the airline industry. Large CO2 footprint has a damaging effect on the environment. Global concerns over this issue has made the airline industry to be greener. Most efforts of the green airline industry are improving the fuel consumption to reduce the CO2 emission and its environmental damage. Here, we use cruise speed control to control the fuel consumption and CO2 emission. Each aircraft has a different speed level needing a different fuel consumption. Service quality is studied besides the energy consumption. We investigate two objectives including total energy consumption (TEC) and passenger service level (PSL). TEC and PSL are conflicting in nature. We develop a mixed-integer nonlinear programming model to integrate schedule design, aircraft assignment and maintenance routing problems. We make use of the augmented ε-constraint method to solve the problem. To evaluate the model, a real data based on the Emirates airline flights is used. The results are compared using four different scenarios

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مجله انجمن ایرانی تحقیق در عملیات Iranian Journal of Operations Research
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