2017-06-23T08:12:45Z
http://www.ijsom.com/?_action=export&rf=summon&issue=401
International Journal of Supply and Operations Management
IJSOM
2014
1
2
Modelling the Level of Adoption of Analytical Tools; An Implementation of Multi-Criteria Evidential Reasoning
Igor
Barahona
Judith
Cavazos
Jian-Bo
Yang
In the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. In most cases, this data comes from multiple sources. Therefore, the challenge is to aggregate them into a common framework in order to make them meaningful and useful.This paper will first review the most important multi-criteria decision analysis methods (MCDA) existing in current literature. We will offer a novel, practical and consistent methodology based on a type of MCDA, to aggregate data from two different sources into a common framework. Two datasets that are different in nature but related to the same topic are aggregated to a common scale by implementing a set of transformation rules. This allows us to generate appropriate evidence for assessing and finally prioritising the level of adoption of analytical tools in four types of companies.A numerical example is provided to clarify the form for implementing this methodology. A six-step process is offered as a guideline to assist engineers, researchers or practitioners interested in replicating this methodology in any situation where there is a need to aggregate and transform multiple source data.
MCDA methods
Evidential Reasoning
Analytical tools
Multiple source data
2014
08
01
129
151
http://www.ijsom.com/pdf_2104_8f4feb0ad908cf0884aa4574d7960f3d.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
The Variance-covariance Method using IOWGA Operator for Tourism Forecast Combination
Liangping
Wu
Jian
Zhang
Three combination methods commonly used in tourism forecasting are the simple average method, the variance-covariance method and the discounted MSFE method. These methods assign the different weights that can not change at each time point to each individual forecasting model. In this study, we introduce the IOWGA operator combination method which can overcome the defect of previous three combination methods into tourism forecasting. Moreover, we further investigate the performance of the four combination methods through the theoretical evaluation and the forecasting evaluation. The results of the theoretical evaluation show that the IOWGA operator combination method obtains extremely well performance and outperforms the other forecast combination methods. Furthermore, the IOWGA operator combination method can be of well forecast performance and performs almost the same to the variance-covariance combination method for the forecasting evaluation. The IOWGA operator combination method mainly reflects the maximization of improving forecasting accuracy and the variance-covariance combination method mainly reflects the decrease of the forecast error. For future research, it may be worthwhile introducing and examining other new combination methods that may improve forecasting accuracy or employing other techniques to control the time for updating the weights in combined forecasts.
Tourism forecasts
Forecast combination
IOWGA operator
Theoretical evaluation
Forecasting evaluation
2014
08
01
152
166
http://www.ijsom.com/pdf_2047_208dd2545c4d51ba0c632f9f94b9dad4.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
A Literature Review on the Fuzzy Control Chart; Classifications & Analysis
Mohammad Hossein
Zavvar Sabegh
Ablofazl
Mirzazadeh
Saber
Salehian
Gerhard
Wilhelm Weber
Quality control plays an important role in increasing the product quality. Fuzzy control charts are more sensitive than Shewhart control chart. Hence, the correct use of fuzzy control chart leads to producing better-quality products. This area is complex because it involves a large scope of industries, and information is not well organized. In this research, we provide a literature review of the control chart under a fuzzy environment with proposing several classifications and analysis. Moreover, our research considered both attribute and variable control chart by analyzing the related researches based on the content analysis method, to classify past and current developments in the fuzzy control chart. This work has included a distribution of articles according to the journal, the case studies related to fuzzy control chart, the percentage of types of fuzzy control charts used in the literature, performance evaluation of the fuzzy control chart and summary of key points of each review paper. Finally, this paper discusses some future research direction and our overviews. The results of this study can help researchers become familiar with well-known journals, fuzzy control charts used in sample case studies, and to extract key points of each paper in minimum time.
Fuzzy Control Chart
Fuzzy Set Theory
Literature Review
Conceptual Classification
2014
08
01
167
189
http://www.ijsom.com/pdf_2046_f66cf3d0a52ee7650756e8627102de9e.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
An Integrated Inventory Model with Controllable Lead time and Setup Cost Reduction for Defective and Non-Defective Items
M
Vijayashree
R
Uthayakumar
In this paper, the study deals with the lead time and setup reduction problem in the vendor-purchaser integrated inventory model. The cost of capital (i.e., opportunity cost) is one of the key factors in making the inventory and investment decisions. Lead time is an important element in any inventory system. The proposed model is presents an integrated inventory model with controllable lead time with setup cost reduction for defective and non defective items under investment for quality improvement. In this analysis, the proposed model, we assumed that the setup cost and process quality is logarithmic function. Setup cost reduction for defective and non defective items, is the main focus for the proposed model. The objective of the proposed model is to minimize the total cost of both the vendor-purchaser. The mathematical model is derived to investigate the effects to the optimal decisions when investment strategies in setup cost reductions are adopted. This paper attempts to determine optimal order quantity, lead time, process quality and setup cost reduction for production system such that the total cost is minimized. A solution procedure is developed to find the optimal solution and numerical examples are presented to illustrate the results of the proposed models.
Integrated inventory model
Vendor-purchaser coordination
Lead time crashing cost
Setup cost reduction for defective and non defective items
2014
08
01
190
215
http://www.ijsom.com/pdf_2049_891c6f2afe3deec3837198bbadf14cb9.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
Inventory Model for Deteriorating Items with Four level System and Shortages
Rakesh Prakash
Tripathi
This paper presents an inventory model for deteriorating items in which shortages are allowed. It is assumed that the production rate is proportional to the demand rate and greater than demand rate. The inventory model is developed by considering four different circumstances. The optimal of the problem is obtained with the help of Mathematica 7 software. Numerical examples are given to illustrate the model for different parameters. Sensitivity analysis of the model has been developed to examine the effect of changes in the values of the different parameters for optimal inventory policy. Truncated Taylorâ€™s series is used for finding closed form optimal solution.
Inventory
Constant demand
Deterioration
Shortages
Production
2014
08
01
216
227
http://www.ijsom.com/pdf_2048_23744adecf6428f88d10639e6e328f18.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
Presenting a Multi Objective Model for Supplier Selection in Order to Reduce Green House Gas Emission under Uncertion Demand
Habibollah
Mohamadi
Ahmad
Sadeghi
Recently, much attention has been given to Stochastic demand due to uncertainty in the real -world. In the literature, decision-making models and suppliers' selection do not often consider inventory management as part of shopping problems. On the other hand, the environmental sustainability of a supply chain depends on the shopping strategy of the supply chain members. The supplier selection plays an important role in the green chain. In this paper, a multi-objective nonlinear integer programming model for selecting a set of supplier considering Stochastic demand is proposed. while the cost of purchasing include the total cost, holding and stock out costs, rejected units, units have been delivered sooner, and total green house gas emissions are minimized, while the obtained total score from the supplier assessment process is maximized. It is assumed, the purchaser provides the different products from the number predetermined supplier to a with Stochastic demand and the uniform probability distribution function. The product price depends on the order quantity for each product line is intended. Multi-objective models using known methods, such as Lp-metric has become an objective function and then uses genetic algorithms and simulated annealing meta-heuristic is solved.
Stochastic demand
Greenhouse gas emission
Genetic Algorithm
Simulated Annealing
L-p metric
2014
08
01
228
244
http://www.ijsom.com/pdf_2101_bbd89d62b2d952d77c1174a07d078ab6.html
International Journal of Supply and Operations Management
IJSOM
2014
1
2
A Novel Hierarchical Model to Locate Health Care Facilities with Fuzzy Demand Solved by Harmony Search Algorithm
Mehdi
Alinaghian
Seyed Reza
Hejazi
Noushin
Bajoul
In the field of health losses resulting from failure to establish the facilities in a suitable location and the required number, beyond the cost and quality of service will result in an increase in mortality and the spread of diseases. So the facility location models have special importance in this area. In this paper, a successively inclusive hierarchical model for location of health centers in term of the transfer of patients from a lower level to a higher level of health centers has been developed. Since determination the exact number of demand for health care in the future is difficult and in order to make the model close to the real conditions of demand uncertainty, a fuzzy programming model based on credibility theory is considered. To evaluate the proposed model, several numerical examples are solved in small size. In order to solve large scale problems, a meta-heuristic algorithm based on harmony search algorithm was developed in conjunction with the GAMS software which indicants the performance of the proposed algorithm.
Hierarchical Facility Location
Successively Inclusive
Fuzzy Credibility Theory
Harmony Search Algorithm
Health care facilities
2014
08
01
245
259
http://www.ijsom.com/pdf_2095_479cc1590767a060545ee5b5b42d803c.html