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2091.

A new methodology to study customer electrocardiogram using RFM analysis and clustering Pages 139-148 Download PDF

Authors: Asso Hamzehei, Mohammad Fathian, Mohammad Reza Gholamian, Hamid Farvaresh

DOI: 10.5267/j.msl.2010.03.009

Keywords: Behavioral trends, Clustering, Customer relationship management, Electrocardiogram, RFM

Abstract:

One of the primary issues on marketing planning is to know the customer & apos; s behavioral trends. A
customer & apos; s purchasing interest may fluctuate for different reasons and it is important to find the
declining or increasing trends whenever they happen. It is important to study these fluctuations
to improve customer relationships. There are different methods to increase the customer & apos; s
willingness such as planning good promotions, an increase on advertisement, etc. This paper
proposes a new methodology to measure customer & apos; s behavioral trends called customer
electrocardiogram. The proposed model of this paper uses K-means clustering method with
RFM analysis to study customer & apos; s fluctuations over different time frames. We also apply the
proposed electrocardiogram methodology for a real-world case study of food industry and the
results are discussed in details

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2092.

A fuzzy modeling for single machine scheduling problem with deteriorating jobs Pages 147-156 Download PDF

Authors: Mohammad Mahavi Mazdeh, Farzad Zaerpour, Farzad Firouzi Jahantigh

DOI: 10.5267/j.ijiec.2010.02.004

Keywords: Scheduling, Sequencing, Single machine, Work in process, Job deterioration, Bi-objective, Fuzzy decision making

Abstract:

This paper addresses a bi-criteria scheduling problem with deteriorating jobs on a single machine. We develop a model for a single machine bi-criteria scheduling problem (SMBSP) with the aim of minimizing total tardiness and work in process (WIP) costs. WIP cost increases as a job passes through a series of stages in the production process. Due to the uncertainty involved in real-world scheduling problems, it is sometimes unrealistic or even impossible to acquire exact input data. Hence, we consider the SMBSP under the hypothesis of fuzzy L-R processing time's knowledge and fuzzy L-R due date. The effectiveness of the proposed model and the denoted methodology is demonstrated through a test problem.

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2093.

Strategic planning model for Startups: A case study of Iranian packaging industry Pages 157-166 Download PDF

Authors: Khashayar Mahdavi Mazdeh, Mohammad Mahdavi Mazdeh, Khashayar Moradi

DOI: 10.5267/j.msl.2010.03.005

Keywords: Entrepreneurship, Food packaging, Planning, Small business, Startup, Strategic planning

Abstract:

In today’s turbulent and competitive world, strategic planning plays an important role for the
success of firms. Despite the fact that there are literally numerous models proposed for different
companies in various states and structures, the possibility of using strategic planning for
startups has never been seriously considered. In this paper, we present a survey by asking
experts to find out whether strategic planning is suitable for startups. We also propose a model
for strategic planning in startups based on the strategic planning models for small businesses
and entrepreneurship concepts. The model is similar to other models and what differentiates
this models form other approaches is the methodology used for internal and external analysis
and the parameters taken into consideration. The proposed model is examined on an Iranian
food packaging industry for validation. The preliminary results indicate that the success of
startups depends on two sets of parameters: “entrepreneurial opportunities” and “competitive
advantages and entrepreneurial characteristics”.

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2094.

Fuzzy analytical hierarchy process using preference ratio: A case study for selecting management short course in a business school Pages 173-184 Download PDF

Authors: Mohammad Modarres, Soheil Sadi-Nezhad, Arabi Arabi

DOI: 10.5267/j.ijiec.2010.02.006

Keywords: FAHP, Preference ratio, MADM, Fuzzy numbers, Consistency ratio, AHP

Abstract:

Analytic Hierarchy Process (AHP) is one of the most popular approaches in the area of multiple attribute decision making (MADM). However, it is not practical any more if input information are fuzzy. In this paper, we propose a new method for fuzzy AHP which is especially useful to make decisions for multiple attribute problems. The method is developed by applying preference ratio concept which makes it practical since it assigns crisp weights and crisp scores to different alternatives. Two algorithms are proposed in this paper: The first one defines crisp and normalized weight by pairwise comparison with fuzzy data while the second one calculates fuzzy consistency ratio. The proposed method is applied to prioritize different short courses in a management school.

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2095.

An empirical study on measuring the impact of personality type on employee capabilities Pages 181-186 Download PDF

Authors: N. Sha’bani, S. Salajeqe, M. Fallah, S.E. Najafi

DOI: 10.5267/j.msl.2010.03.003

Keywords: Big fives, Employee ability, Empowerment, Personality type

Abstract:

Personality is a stable set of characteristics and tendencies, which specifies similarities, and
differences of people & apos; psychological behavior. Personality is normally a permanent behavior
through time and may not be comprehended easily or recognized as immediate or direct
situations due to some environmental and social stresses. In this paper, we study the
relationship between employees & apos; personality and ability types. The paper identifies that there
are some relationships between employees & apos; personality type and their ability. There is also a
relationship between introvert, extrovert, sensitive, emotive, thoughtful, considerate and
judging personality type and employees & apos; ability.

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2096.

A methodology to identify and prioritize organizational factors affecting implementation of value engineering Pages 187-194 Download PDF

Authors: Fereshteh Amin, Ali Ramezani, Hamed Babaei

DOI: 10.5267/j.msl.2010.03.001

Keywords: ELECTRE III, Multiple criteria, Organizational factors, Strategic planning, Value engineering

Abstract:

The new millennium must be called the century to compete for survival. The increase
interaction among international organizations has changed the world into a global village and
firms have no choice but to develop a variety of instruments and equipments to compete with
each other. Value engineering (VE) is one of the new techniques of management science
emerged in using the power of organizational creativity and entrepreneurship programs. VE
modifies the organizational activities, removes the non value-added activities and increases the
current values of organizations. VE has been successfully implemented in many areas of
management such as quality, productivity, project management, etc. The success of a VE
program depends on many organizational factors such as the availability of resources, the
strategy and the organization structure, the senior management support, the organizational
culture and the communication and information systems. In this study, we identify and
prioritize organization factors affecting the implementation of VE using ELECTRE III method.

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2097.

An empirical study to measure the relative efficiencies of training organizations using data envelopment analysis Pages 195-202 Download PDF

Authors: Ahmad Ahmadkhani, Masoud Babakhani

DOI: 10.5267/j.msl.2010.02.004

Keywords: Data Envelopment Analysis, DEA, Driving test, Efficiency, Performance measurement

Abstract:

This paper presents an empirical study on measuring relative efficiencies of test drive
educational organizations using data envelopment analysis. The study uses a Delphi method to
determine the most important input/output factors and then gathers the actual data for all units
located in an Iranian province called Zanjan. The results of the implementation of the DEA
method are compared for different periods of the recent year and they are analyzed. We perform
the DEA implementation for two separate regions, one for the units located inside the city and
the other for the units located in the rural area. The output results of both methods are compared
and the results are discussed in details.

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2098.

Providing hierarchical approach for measuring supply chain performance using AHP and DEMATEL methodologies Pages 199-212 Download PDF

Authors: Ali Najmi, Ahmad Makui

DOI: 10.5267/j.ijiec.2010.02.008

Keywords: DEMATEL, Analytical Hierarchy Process, Supply Chain Performance, Integration, Metrics interdependence

Abstract:

Measuring the performance of a supply chain is normally of a function of various parameters. Such a problem often involves in a multiple criteria decision making (MCMD) problem where different criteria need to be defined and calculated, properly. During the past two decades, Analytical hierarchy procedure (AHP) and DEMATEL have been some of the most popular MCDM approaches for prioritizing various attributes. The study of this paper uses a new methodology which is a combination of AHP and DEMATEL to rank various parameters affecting the performance of the supply chain. The DEMATEL is used for understanding the relationship between comparison metrics and AHP is used for the integration to provide a value for the overall performance

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2099.

A GRASP model in network design for two-stage supply chain Pages 203-212 Download PDF

Authors: Hassan Javanshir, Mahdis Haghighi Ghashti

DOI: 10.5267/j.msl.2010.02.003

Keywords: GRASP, Inventory lost, Lead time, Network design, Safety stock

Abstract:

We consider a capacitated facility location problem (CFLP) which contains a production facility and distribution centers (DCs) supplying retailers' demand. The primary purpose is to locate distribution centres in the network and the objective is the minimization of the sum of fixed facility location, pipeline inventory, safety stock and lost sales. We use Greedy randomized adaptive search procedures (GRASP) to solve the model. The preliminary results indicate that the proposed method of this paper could provide competitive results in reasonable amount time.

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2100.

A robust LINMAP for EFQM self assessment Pages 213-222 Download PDF

Authors: Sepideh Rasouli, Mohsen Gharakhani, Masoud Babakhani

Keywords: EFQM, Linear Programming, LINMAP, Preference Analysis, Robust Decision Making, Robust Optimization

Abstract:

During the past two decades, there have been tremendous efforts on developing efficient
business excellence models to improve the quality of organizations. A typical business
excellence model proposes several alternatives with different budget and the primary objective
is to use the best ones. In this paper, we present a robust LINMAP method for measuring the
relative importance of various alternatives in an EFQM self assessment. The presented robust
model is capable of handling uncertainty as part of the problem formulation. The proposed
model of this paper is implemented for a case-study of energy sector in Iran with various
alternatives. The orderings of the alternatives are measured using data from multiple experts
through applying the proposed model of this paper.

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