Forthcoming articles

 


International Journal of Modelling in Operations Management

 

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International Journal of Modelling in Operations Management (6 papers in press)

 

Regular Issues

 

  • Linking Planning Strategies with Supply Chain in an Extended Environment: A Theoretical Framework   Order a copy of this article
    by M. Jawwad Rafi Burney, Aneeqa Rauf, Syed Mehmood Hassan, Sharfuddin Ahmed Khan 
    Abstract: Developing functional requirements to establish specifications in the development of a manufacturing production system which focuses on production are planning, material requirement planning and inventory problems. To meet the requirements, optimistic analysis of the process line is carried out which; focusing on establishing all the necessary data for the specification regarding the nature of production system and the inventories issues, the combination of these two leads to MRP (material requirement planning). According to the research it is observed that to control production operations, to achieve optimum inventory level and to schedule the requirements according to the forecasted demand, implementation of MRP on the manufacturing system is necessary. To put MRP in to a process, a framework was developed to integrate the work process flow that gives a simple image of the process flow for any general production system, concerning the operations and their management. In this paper, flow of data can be followed from forecasting of the demand to the delivery order, as well as tracking of material and customer order is made possible. The model proposed in this paper aims to tackle and provide the necessary framework that can be used to guide through the different problematic situations. Also as such, where it is general practice to only use MRP for the purpose of planning the production requirements, which leads to the aforementioned problems, the proposed model counters that by using two combinations, one of MPS with RCCP, and the other detailed one of MRP with CRP, in order to get the right material procured against the right capacity at the right time. In case there are mismatched problems, they will be highlighted due to the cross checking of the two techniques used.
    Keywords: Aggregate Production Planning; Master Production Schedule; Material Requirement planning; Capacity Requirement Planning; Supply Chain Management.

  • Regression modelling of customers purchase intention towards green cars: an empirical study in Malaysia   Order a copy of this article
    by Chyh Kun Ang, Ting Ting Chong, Yong Chooi Seah, Ying Ni Soo, Phey Yi Tan 
    Abstract: Malaysians are currently facing critical environmental issues and challenges. The research objective is to investigate the correlation between functional value (price), functional value (quality), symbolic value, emotional value, epistemic value as well as conditional value and customer purchase intention (PI) towards green cars in Malaysia. We explore Theory of Consumption Values (TCV) in vehicular context to seek ways to increase green cars consumptions. We have chosen quantitative research design and used quota sampling to select target respondents. Questionnaire is used to collect data from Generation Y at auto shows in Kuala Lumpur (KL), Johor Bharu (JB), Klang, George Town and Ipoh. This study findings show that all values except functional value (price) and social value have significant relationships with customer PI towards green cars in Malaysia. This study contributes a vital insight and thus encourages local manufacturers to produce green cars consistently to reduce air pollution in Malaysia.
    Keywords: Consumption values; Green cars; Purchase intention; Malaysia.

  • Regression Control Chart for Two Related Variables: A Forgotten Lesson   Order a copy of this article
    by Fazel Hayati 
    Abstract: The purpose of this paper is to introduce the regression control chart for two related variables and to furnish rules for a plan of action. Cases are presented to show the effectiveness of the regression control chart. A Regression control chart for two related variables integrates linear regression and Shewhart quality control chart theory and methods in a coherent way. The regression control chart combines two robust methods as the basis of analysis: the linear regression model and the Shewhart control chart theory. Other researchers are encouraged to investigate related variables using a regression control chart as there is a lack of published work in this area.
    Keywords: Regression Control Chart; Shewhart; Variation; Process Improvement.

  • Predictors of the intention to adopt mobile tourism shopping among Malaysian consumers: A Partial Least Squares-Structural Equation Modelling (PLS-SEM) Approach   Order a copy of this article
    by Yao-Zu Liew, Pik-Yin Foo 
    Abstract: The main objective of this research is to investigate the predictors affecting the adoption of mobile tourism shopping among Malaysian consumers, which is an emerging new trend to shop for tourism products and services. Constructs from Mobile Technology Acceptance Model (MTAM), Unified Theory of Acceptance and Use of Technology Model (UTAUT) and Theory of Planned Behaviour (TPB) were incorporated in the research model with the ultimate aim of investigating which factors have significant impact on the adoption of mobile tourism shopping. Using empirical data from 271 completed responses and PLS-SEM approach, only attitude, environment factor and mobile usefulness are significant with adoption. The findings of this research have provided practical and valuable insights to the hospitality industry by shedding light on which factors best serve as motivators for consumers to adopt mobile tourism shopping.
    Keywords: Mobile technology acceptance model; mobile commerce; tourism; PLS-SEM; Malaysia.

  • Mobile Social Media Shopping: A Partial Least Squares-Structural Equation Modelling (PLS-SEM) Approach   Order a copy of this article
    by Zhi Yin Mooi 
    Abstract: As mobile technologies continue to advance with social media evolution, a new platform has been made available for consumers to purchase goods or services online. Mobile social media shopping (m-SMS) is an emerging information technology service, where its critical success factor is greatly dependent on the users. Thus, it is vital to decipher the users behavioral intention (BI). The main objective of this research examines the factors that influence consumers BI in adopting m-SMS. 200 valid data were assessed and analyzed using partial least squares structural equation modeling (PLS-SEM). Findings revealed that perceived playfulness (PP), compatibility (CP) and TS (training and support) have significant impact on BI. Moreover, CP has also displayed significant influence on PU and PEOU. However, TS has shown to have significant impact on PU alone, instead of PEOU. Findings of this study are anticipated to contribute to both theoretical and practical world.
    Keywords: Mobile social media shopping; diffusion of innovation; technology acceptance model; partial least square structural equation modeling.

  • Selection of a spouse for females using hybrid multi-criteria decision making model in India   Order a copy of this article
    by Ankur Chauhan 
    Abstract: From the inception of humanity the marriages have been an integral part of all societies across the world. There are different customs, traditions, and rituals, followed up to organise and complete a marriage ceremony. The happening of a marriage is basically dependent on a male and a female partner. Unlike western world, Indians have different way to choose their partner, especially for females. In the past, there were few opportunities available to females for the selection of their partner due to limited access to their geographical area and poor information flow. Today, with the emergence of information technology and various marriage websites females, especially corporate working, receive many profiles of the partner candidates. Therefore, to assist the females in their decision making for an appropriate life-partner selection this study has been carried out. The ten important criteria have been identified with the help of a review of literature and field survey. Along with this, the Analytic Hierarchy Process (AHP) and Technique for Order Preference and Similarity to Ideal Solution (TOPSIS) method have been applied to calculate the importance of each criterion and rank the various alternatives (candidate profiles), respectively. The results of a real case study show that the application of AHP and TOPSIS leads to better decision making for a female in the multi-criteria decision making scenario such as this.
    Keywords: Society; AHP; TOPSIS; Marriage; Matrimonial websites; Decision Making.