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Yangui W.,University of Sfax | HajtaiEb El Aoud N.,Institute of Commerce and Business
British Food Journal | Year: 2015

Purpose – The purpose of this paper is to explore the determinants of the need for reassurance, while emphasizing the role of perceived traceability. Design/methodology/approach – Data were collected through individual interviews, and analyzed by thematic analysis. Findings – Results showed that the traceability of modern foods is low perceived by the consumers. This indirectly influences the need for reassurance toward themodern foods by reducing the confidence in these products and strengthening the feeling about the risk associated to their consumption. Research limitations/implications – The major limits of this paper concern the development of the research model through the means of an exploratory study. This can affect the possibility to generalize results since the described hypotheses are not quantitatively validated. Another limit is concerned by the non-investigation of moderating factors, which can be the object of future researches. Originality/value – This paper is one of the few efforts integrating the need for reassurance in a theoretical model of consumer behavior, and explaining its origins. This justifies the use of a qualitative methodology. © Emerald Group Publishing Limited.


Lyon T.P.,Institute of Commerce and Business | Yin H.,Shanghai JiaoTong University
Energy Journal | Year: 2010

Renewable portfolio standards (RPSs) for electricity generation are politically popular in many U.S. states although economic analysis suggests they are not first-best policies. We present an empirical analysis of the political and economic factors that drive state governments to adopt an RPS, and the factors that lead to the inclusion of in-state requirements given the adoption of an RPS. Although advocates claim an RPS will stimulate job growth, we find that states with high unemployment rates are slower to adopt an RPS. Local environmental conditions and preferences have no significant effect on the timing of adoption. Overall, RPS adoption seems to be driven more by political ideology and private interests than by local environmental and employment benefits, raising questions as to when environmental federalism serves the public interest. Copyright © 2010 by the IAEE. All rights reserved.


Wang C.-H.,Institute of Commerce and Business | Dohi T.,Hiroshima University | Tsai W.C.,I - Shou University
Computers and Industrial Engineering | Year: 2010

In this study, we investigate integrating the acquisition of input materials, material inspection and production planning, where type I and type II inspection errors are allowed, and the unit acquisition cost is dependent on the average quality level. This study aims to find an optimal purchase lot size (or here, equivalently, the fixed production rate multiplied by the production run time), input quality level and the associated inspection policy that minimize the total cost per item including the order cost, materials purchase cost, setup cost, inventory holding cost, and the quality-related cost. Furthermore, the boundaries, conditions and properties for the optimal production run time are obtained under an optimal inspection policy when the input material quality level is fixed. These findings will facilitate the establishing of an efficient algorithm for an optimal solution. The study demonstrates that a partial inspection approach could dominate over both the commonly used policies of full or no inspection, which is different from a previous report where the optimal inspection policy is either full or no inspection. A numerical example is performed to evaluate the impact of the two types of inspection errors and the process deterioration because of a nonconforming process input on the optimal solution, where a Weibull shift distribution is used to simulate the process failure time. Finally, conclusions are addressed. © 2010 Elsevier Ltd. All rights reserved.


Li Z.,Institute of Commerce and Business | Yong C.,PLA Air Force Aviation University
International Conference on Logistics, Engineering, Management and Computer Science, LEMCS 2014 | Year: 2014

With the minimal delivery cost as the managing target for the tobacco enterprise, the common mathematic model of tobacco logistics is built and the optimal solution is given in this paper. The main problem in tobacco logistics is to choose an effective vehicle routing, which can be solved by particle swarm optimization when the number of tobacco traders is small enough. But with the increasing of tobacco traders, the vehicle routing scheme is becoming more complicated. By introducing the cross-over operation and the mutation operation to the particles, the optimization capability is improved remarkably to achieve the best tobacco delivery method. The example shows that the optimal tobacco delivery routes can be obtained by the improved particle swarm optimization effectively comparing with genetic algorithms. © 2014. The authors - Published by Atlantis Press.


Zhao L.,Institute of Commerce and Business
Advanced Materials Research | Year: 2014

Considering the minimal delivery route and the receiving time window, the mixed delivery optimization based on genetic algorithm in tobacco logistics is presented in this paper. The existing developments of tobacco logistics are elaborated, with which the characteristic of tobacco delivery is analyzed in detail. After some reasonable assumptions, the mixed mathematical optimization model with receiving time window is built by introducing an intermediate adjusting variable. After defining the individual information of each chromosome according to the discrete system, the corresponding nonlinear computation model is established using genetic algorithm. The procedure of the genetic algorithm computation is researched. The example at last shows that the optimal tobacco delivery routes are traded off between the above two objectives by using the genetic algorithm effectively. © (2014) Trans Tech Publications, Switzerland.


Tsai W.C.,I - Shou University | Wang C.-H.,Institute of Commerce and Business
Computers and Industrial Engineering | Year: 2011

An economic off-line inspection, disposition, and rework (IDR) model for a batch produced from an unreliable production system was recently proposed by Wang et al. [Economic optimization of off-line inspection with rework consideration, European Journal of Operational Research, 194 (2009) 807-813], where the process is assumed to possess a discrete general shift distribution. Unfortunately, there are some important flaws in the proposed IDR model; in particular, while obtaining optimal IDR policy, they incorrectly assumed that the process shift distribution had the memoryless property. As a result, the purpose of this paper is to reformulate the IDR model, and to develop a solution procedure to find the optimal IDR policy. © 2011 Elsevier Ltd. All rights reserved.


Wang C.-H.,Institute of Commerce and Business | Tsai W.C.,I - Shou University
International Journal of Systems Science | Year: 2012

This study simultaneously determines the optimal production lot size and an inspection policy for input materials and products, where an unreliable process produces products with a discrete general shift distribution. This work proposes a heuristic inspection policy for materials and products, by first obtaining the inspection range for the input material without considering product inspection, and by further determining the product inspection range based on the obtained range of the input material inspection. The optimal inspection policy shows that common policies of no or full inspection are never optimal. This study includes the optimal production lot size based on the obtained inspection policy. Numerical examples demonstrate the impacts of input quality level, process reliability and unit nonconforming cost on the optimal solution, which adopts a discrete Weibull shift distribution to model the process failure time. Finally, this study addresses the conclusions. © 2012 Taylor & Francis Group, LLC.


Wang C.-H.,Institute of Commerce and Business
Computers and Industrial Engineering | Year: 2010

In the reports in the literature on inventory control, the effects of the random capacity on an order quantity and reorder point inventory control model have been integrated with lead time demand following general distribution. An iterative solution procedure has been proposed for obtaining the optimal solution. However, the resulting solution may not exist or it may not guarantee to give a minimum to the objective cost function, the expected cost per unit time. The aim of this study was to introduce a complete solution of the order quantity/reorder point problem, optimality, properties and bounds on the optimal order quantity and reorder point. The two most appealing distributions of lead time demand, normal and uniform distributions, in conjunction with an exponentially distributed capacity, are used to illustrate our findings in determining the optimal order quantity and reorder point. © 2010 Elsevier Ltd. All rights reserved.


Tsai W.C.,I - Shou University | Wang C.-H.,Institute of Commerce and Business
Journal of Manufacturing Systems | Year: 2010

This paper applied a mixed integer programming approach to solve the sourcing and order allocation problem with multiple products and multiple suppliers in a supply chain. The decision process is driven by multiple objectives and a set of constraints. Two schemes of quantity discounts are used to compare the influence upon the buying decisions. An example and an experimental test are presented to demonstrate the effectiveness of the model. The computational solutions are a valuable tool to eliminate much of the subjectivity that impacts decisions under complex situations. A graphical display for the solutions is provided which can assist DMs in making decisions among criteria. © 2010 The Society of Manufacturing Engineers. Published by Elsevier Ltd. All rights reserved.


Wang A.-M.,Institute of Commerce and Business | Yang C.-H.,Chinese Culture University
Spatial Economic Analysis | Year: 2013

This paper adds a factor of production, land, to the standard core-periphery model of the New Economic Geography to analyse the effect of land rent on the price index and spatial structure. The result indicates that when production of the manufacturing sector has high dependence on land, and high demand elasticity for differentiated goods, the price index of the core region is higher than that of the periphery, and that the price index could rise with a degree of agglomeration. Meanwhile, the market forces cannot generate a core-periphery structure, which indicates the significance of the price effect on spatial structure. © 2013 Regional Studies Association.

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