Alireza Moumivand; Adel Azar; Abbas Toloie Eshlaghy
Abstract
Soft OR from pluralist paradigm has effective approaches to structure and improve problem situations with different stakeholders’ worldviews and conflict of interests. The approaches, structure and improve messy situations. In this study, we used Soft System Methodology (SSM) as a popular soft ...
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Soft OR from pluralist paradigm has effective approaches to structure and improve problem situations with different stakeholders’ worldviews and conflict of interests. The approaches, structure and improve messy situations. In this study, we used Soft System Methodology (SSM) as a popular soft approach at two levels. First, we applied Soft System Methodology process (SSMp) to plan the systemic intervention process in the employee promotion System of an oil and gas company. Then, Soft System Methodology content (SSMc) was used to investigate the content of the company's employee promotion system that caused employees’ dissatisfaction. By considering managers’ and employees’ worldviews, three root definitions were made. At this phase, fair condition to present different points of view was applied. So, employees with different organizational power levels expressed their opinions openly. Finally, stakeholders’ participation through the discussion helped to build an agreed model and a root definition, and agreed actions for addressing defects of the employee promotion system were proposed.
Davood Gharakhani; Abbas Toloie Eshlaghy; Kiamars Fathi Hafshejani; Farhad Hosseinzadeh Lotfi; Reza Kiani Mavi
Abstract
Data Envelopment Analysis (DEA) is a powerful analytical technique for measuring the relative efficiency for a set of Decision Making Units (DMUs) based on their inputs and outputs. There are weaknesses in conventional models DEA. Most important of which is the weight shift input and output which makes ...
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Data Envelopment Analysis (DEA) is a powerful analytical technique for measuring the relative efficiency for a set of Decision Making Units (DMUs) based on their inputs and outputs. There are weaknesses in conventional models DEA. Most important of which is the weight shift input and output which makes the efficiency of Decision Making Units with different weights measured. A characteristic of Traditional DEA models is that it allows DMUs to measure their maximum efficiency score with the most favorable weights. As well as the conventional DEA models are not focused network of evaluation units. In this paper we propose to correct the weaknesses the common set of weights (CSW) in network DEA model based on the Goal programming approach. To test the effectiveness of the proposed model and solve real data is used by insurance companies active in Qazvin province. The model presented in this paper units decide on a similar scale with a set of weights for neutral evaluation is common. Proposed approach helps policy makers to better understand the strengths and weaknesses of DMUs and try to promote the strengths and remove weaknesses to improve the efficiency and ranking of given DMUs.
