Smart Computing and Systems Engineering - 2021 (SCSE 2021)
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/25343
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Item Solution approaches for combining first-mile pickup and last-mile delivery in an e-commerce logistic network: A systematic literature review(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Ranathunga, M. I. D.; Wijayanayake, A. N.; Niwunhella, D. H. H.Logistics is one of the primary areas of operation within cutting-edge supply chain operations. In the e-commerce supply chain also logistics operations play a vital part. The logistics operations must be controlled effectively and efficiently since they deal with the high-cost besides environmental impacts. In e-commerce logistics operations, first-mile and last-mile delivery operations are considered as the operations with the highest costs incurred. So, e-commerce service providers are interested in optimizing their first-mile and last-mile delivery operations. Though it is known that the integration of first-mile pickup and last-mile deliveries will minimize the cost of transportation, there are more practical concerns to be taken into account when combining the first-mile pickup and last-mile delivery operations. Capacitated Vehicle Routing Problem (CVRP) is discussed in the literature as a solution approach for this kind of problems. The objective of this study is to provide a comprehensive overview of the current CVRP related literature, including models, algorithmic solution approaches, objectives, and industrial applications, with a focus of identifying interesting study paths for the future to improve distribution in e-commerce logistics networks by combining first-mile pickup and last-mile delivery operations. The findings of the study have demonstrated that constraints and features of Vehicle Routing Problem with Backhauls are very attractive with today's e-commerce operations, and the majority of the cited publications employed approximation methods rather than precise algorithms to solve these types of models.Item Framework to mitigate supply chain disruptions in the apparel industry during an epidemic outbreak(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Perera, M. A. S. M.; Wijayanayake, A. N.; Peter, SurenBillions of people use social networks, and they play a significant role in people's lifestyles in the current world. At the same time, due to globalization and other factors, the use of these social platforms is expanding daily, and a variety of activities take place inside these platforms. These networks are centralized, allowing social network-owned companies to track and observe the activities of their users. Therefore, this has been challenged to the privacy of the data of users. Also, these companies tend to sell them to third parties keeping huge profits without users' permission. Since data is the most valuable asset in today's and tomorrow's world, many have pointed out this issue. Even though decentralized, community-driven applications have come to play as a solution to this problem, there is still no successful application that competes with centralized social network platforms. Therefore, this study attempted to develop a decentralized social network architecture with the basic functionalities of a social media platform to assure the privacy of the users' data.Item Identifying interrelationships of key success factors of third-party logistics service providers(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Perera, Theruwanda; Wickramarachchi, Ruwan; Wijayanayake, A. N.To be more cost-effective as well as to maintain a sustainable competitive advantage, many enterprises tend to improve their business practices by having a strong relationship with third-party (3PL) logistics service providers. The main objectives of this paper are to determine the key success factors associated with the Sri Lankan 3PL industry and identify the interrelationships of these key success factors. A systematic literature review and expert opinions were used to identify the key success factors of the 3PL industry in Sri Lanka. In total 21 key success factors were obtained, and those key success factors were grouped into four categories as organization strategy, management, and process, human resources, and customer orientation. Q-sort technique was used to group key success factors into four categories. Decision-making trial and evaluation laboratory (DEMATEL) method was used to capture the interactive relationships among the key success factors of 3PL service providers, and the casual effect map analyzed. Data were collected through questionnaires from middle and senior-level managers of 3PL firms. A total of eleven experts in the 3PL industry participated in the data collection process. The result shows that organization strategy is a core success factor since it has both high prominence and high interrelationship. Management and process were classified as driving factors since they had a low prominence but a high interrelationship. However, human resources and customer orientation had high prominence but low relationship, which are influenced by other factors and cannot be directly improved. The findings may assist managers to formulate long-term flexible decision strategies in their 3PL firms.Item Application of Game Theory on financial benefits and employee satisfaction: Case study of a state bank of Sri Lanka(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Jayasekara, D. D. G. T.; Wijayanayake, A. N.; Dissanayake, A. R.The principal agent problem revolves around the competing interest between shareholders and the employees. The organization focus is on maximizing shareholder wealth, while employees try to obtain the maximum benefits for themselves. As per the motivational theories, people have different types of needs. Therefore, management should focus on a wide range of factors to motivate the employees to work to their full potential in the interest of the organization. The study focuses on both employee and the management of a state bank. The organization is always eager to minimize the cost and maximize the profit. Game Theory was used to provide a mathematical framework for understanding the optimal outcome and what the tradeoffs are to achieve that outcome. The objective is to find the right balance between financial gains and employee satisfaction. To fulfill that objective, one needs to evaluate the benefits given to employees, the effectiveness of those benefits on employees and finally recommend an effective benefits allocation mix to the organization, which will address both employee and the top management of the bank.Item A MILP model to optimize the proportion of production quantities considering the ANP composite performance index(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Thalagahage, N. T. H.; Wijayanayake, A. N.; Niwunhella, D. H. H.The apparel industry is considered as one of the most labor-intensive industries where Production Planning and Control (PPC) is considered as an important function, because of its involvement from scheduling each task in the process to the delivery of customer demand. Line planning is a sub-process within PPC, through which the production orders are allocated to production lines according to their setting and due dates of production completion. The decisions that address line planning functions still heavily rely on the expertise of the production planner. When production planners are required to select production lines for the production of a particular type of product, little emphasis has been placed on ways to apportion certain production orders to the most appropriate production system. In this research, a framework is developed using Analytical Network Process (ANP) which is a Multi-Criteria Decision Making (MCDM) method, enabling the incorporation of all the planning criteria in the selection of a production line. The weighted scores obtained by the best alternative production lines are used in a Linear Programming model to optimize the resource allocation in an apparel firm.Item Model to optimize the quantities of delivery products prioritizing the sustainability performance(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Prabodhika, A. P. K. J.; Niwunhella, D. H. H.; Wijayanayake, A. N.Many manufacturers and retailers often outsource their logistics functions to Logistics Service Providers (LSPs) to focus more on their core business process. Due to the competitiveness and the popularity of the sustainability concept, those organizations evaluate their prospective LSPs not only based on economic aspects like cost, service quality but also on social and environmental aspects as well when selecting LSPs. This paper proposes a methodology that can be used by organizations when evaluating and selecting LSPs based on their sustainability performance. Analytic Network Process (ANP) is used in evaluating the LSPs’ sustainable performance since multiple dimensions and indicators need to be incorporated when measuring the sustainability performance. A Linear Programming Problem (LPP) model was proposed which allows the organizations to decide both desired number of LSPs and the volume to be allocated for those selected LSPs. The proposed methodology is flexible as it depends on the sustainability requirements of the organization when selecting LSPs. Both the indicators and their relative importance are up to the organization to decide.Item Solution approach to incompatibility of products in a multi-product and heterogeneous vehicle routing problem: An application in the 3PL industry(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Weerakkody, H. D. W.; Niwunhella, D. H. H.; Wijayanayake, A. N.Vehicle Routing Problem (VRP) is an extensively discussed area under supply chain literature, though it has variety of applications. Multi-product related VRP considers about optimizing the routes of vehicles distributing multiple commodities. Domestic distribution of goods of multiple clients from a third-party logistics distribution center (DC) is one example of such an application. Compatibility of products is a major factor taken into consideration when consolidating and distributing multiple products in the same vehicle. From the literature, it was identified that, though compatibility is a major consideration, it has not been considered in the literature when developing vehicle routing models. Therefore, this study has been carried out with the objective of minimizing the cost of distribution in the multi-product VRP while considering the compatibility of the products distributed, using heterogeneous vehicle types. The extended mathematical model proposed has been validated using data obtained from a leading 3PL firm in Sri Lanka which has been simulated using the Supply Chain Guru software. The numerical results showcase that cost has been reduced when consolidating shipments in a 3PL DC. The study will contribute to literature with the finding that the compatibility factor of products can be considered when developing vehicle routing models for the multi-product related VRP.