Smart Computing and Systems Engineering

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An optimization model to allocate most suitable team members for software development projects
(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Dharmasena, T.W.; Wijayanayake, A.
Human resource is one of the most important resource that creates value for software development projects. However, this becomes more complex when the required range of skills, knowledge, experience and expertise, increases. Many software development projects have failed due to wrong mapping of team members to expected goals. Therefore, it is vital to fill the optimal number of positions required by the most qualified employees for each project, under each designation and to find the most suitable person for each designation. Practically, there is no specific methodology or a system available to match team members to achieve the scope of a given project, as some of the requirements are subjective and the rest are objective. Therefore, the main objective of this research is to develop a model to determine the optimal number of team positions required to be filled, to contribute most to achieve the project scope, quality and meeting the deadlines. In this case, analytical network process together with application of linear programming determine the position to be filled by whom, to optimize the quality and the scope of the project. This is an effective way of selecting suitable team members while meeting the subjective and objective resource constraints to derive maximum benefits not only for the software development project, but for the company as well.
A cross-functional collaborative model for supplier evaluation for the sustainability of a firm
(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Jayarathne, K.; Wijayanayake, A.; Weerabahu, S.
Business organizations have emphasized the importance of sustainability in their business processes. Sustainability of a firm can be measured on social, environmental and economic benefit indicators known as “triple bottom line”. Supplier selection process is one of the critical issues of sustainability activities faced by supply chain managers to maintain a strategically competitive position in the industry and supplier selection can significantly affect in achieving the triple bottom line. Given the current context, technological factors immensely affect the sustainability of a firm. Communication and web based systems related technology is a vital factor to build sustainable supply chain relationships. Thus, technological aspects can be taken into consideration under different sustainable criteria for supplier selection, though it has not been considered yet as a major factor. Analytical Network Process (ANP) has been incorporated to compute the supplier evaluated score that was computed by each department against each supplier. Then an Integer Linear Programming (ILP) model has been used to integrate the judgments of the multiple decision-makers. This research addresses the supplier selection decisions by groups of experts, which improves the quality and accuracy of the decisions made. In this model, both subjective and objective factors related to supplier selection are incorporated in order to optimize the procurement process aligning to the sustainability of the firm.
AHP integrated MILP approach to minimize transportation cost to prioritize distribution requirements
(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Madushika, I.K.; Wijayanayake, A.
Customer satisfaction can be considered as the most important factor for any business as it is tightly linked to revenue and determines the company’s growth and the sustainability. Further it is the leading indicator of customer repurchases and loyalty. Final outcome of the effective supply chain (SC) management is to make the customer loyal and if failed it would result to transfer the customer towards the competitor. Understanding this importance, research in supply chain management (SCM) has grown significantly in recent years. Many organizations have identified that customer satisfaction (CS) and the SC cost are linked and it is impossible to optimize both at the same time. Many studies have been done under different situations to minimize transportation cost (TC) as it ultimately reduces a tremendous amount of SC cost. The need for a reliable approach to optimize customer satisfaction while minimizing the transportation cost has been raised in many occasions as improving customer satisfaction is a goal sought by many businesses in the logistic industry. This requirement becomes critical when the distributor has to select a set of customer orders to be delivered when the supply is less than the demand. Therefore, the objective of this study was to develop a model to find a way to optimally satisfy the customer orders, while minimizing the transportation cost. As a result, a customer focused approach is presented by incorporating Analytic Hierarchy Process (AHP) and then employing a mixed integer linear programming (MILP) model to find the optimal solution. The proposed model addresses customer satisfaction while minimizing the transportation costs

Smart Computing and Systems Engineering - 2018 (SCSE 2018)

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