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ST Logistics: Distributing Consumer Goods in China

International Transactions in Operational Research 2001年第2期8.0卷 203-219页

作者： Chen, Frank Y. Goh, Mark Lee, Jacob Ou, Jihong Sharafali, Moosa Teo, Chung-Piaw Goh, Puay-Guan Sivanathan, Pragash Department of Decision Sciences National University of Singapore Singapore Sembcorp Logistics Singapore

This paper describes the experience gained from a research collaboration between a group of researchers at the National University of Singapore and logistics executives in Sembcorp Logistics (formerly ST Logistics), in the latter's effort to develop a marketing and strategic planning software tool to enhance its third party logistics (3PL) services in China. As China opened up its economy in the late 1980s, many Western consumer goods manufacturers set up plants or formed joint ventures in China in an attempt to capture this huge market. While the production process can be easily built on the existing technologies and can be efficient costwise, the distribution process is still a challenge because of the backward nature of the infrastructure and the bureaucratic roadblocks, resulting in very high supply chain transaction costs. Consequently, most manufacturers turn to third-party logistics providers (3PLs) who have the required logistics expertise to operate in China. One of the leading 3PLs in China is Shenzhen ST-Anda Logistics (ST-Anda), a joint venture between Sembcorp Logistics and China Merchant Holdings. It has an existing pan-China network of distribution centers. Recently, to improve services to their customers, ST-Anda started planning for the expansion of their logistics distribution network. An OR/MS modeling approach was taken to help them in this venture. International Federation of Operational Research Societies 2001.

关键词： China Marketing mixed integer programming Supply chain

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Social distancing in airplane seat assignments

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JOURNAL OF AIR TRANSPORT MANAGEMENT 2020年 89卷 101915-101915页

作者： Salari, Mostafa Milne, R. John Delcea, Camelia Kattan, Lina Cotfas, Liviu-Adrian Univ Calgary Dept Civil Engn Schulich Sch Engn 2500 Univ Dr NW Calgary AB T2N 1N4 Canada Clarkson Univ David D Reh Sch Business 333 BH Snell Hall Potsdam NY 13699 USA Bucharest Univ Econ Studies Dept Econ Informat & Cybernet Bucharest 010552 Romania

This paper addresses the airplane passengers' seat assignment problem while practicing social distancing among passengers. We proposed a mixed integer programming model to assign passengers to seats on an airplane in a manner that will respect two types of social distancing. One type of social distancing refers to passengers being seated far enough away from each other. The metric for this type of social distancing is how many passengers are seated so close to each other as to increase the risk of infection. The other type of social distancing refers to the distance between seat assignments and the aisle. That distance influences the health risk involved in passengers and crew members walking down the aisle. Corresponding metrics for both health risks are included in the objective function. To conduct simulation experiments, we define different scenarios distinguishing between the relative level of significance of each type of social distancing. The results suggest the seating assignments that best serve the intention of the scenarios. We also reformulate the initial model to determine seat assignments that maximize the number of passengers boarding an airplane while practicing social distancing among passengers. In the last part of this study, we compare the proposed scenarios with the recommended middle-seat blocking policy presently used by some airlines to keep social distancing among passengers. The results show that the proposed scenarios can provide social distancing among seated passengers similar to the middle-seat blocking policy, while reducing the number of passengers seated close to the aisle of an airplane.

关键词： Airplane seat assignment Airplane boarding COVID-19 SARS-CoV-2 Social distancing mixed integer programming

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A multi-objective planning and scheduling model for elective and emergency cases in the operating room under uncertainty

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Decision Analytics Journal 2024年 11卷

作者： Fallahpour, Yasaman Rafiee, Majid Elomri, Adel Kayvanfar, Vahid El Omri, Abdelfatteh Department of Industrial Engineering K.N. Toosi University of Technology Tehran Iran Department of Industrial Engineering Sharif University of Technology Tehran Iran Division of Engineering Management and Decision Sciences College of Science and Engineering Hamad Bin Khalifa University Qatar Foundation Doha 34110 Qatar Surgical Research Section Department of Surgery Hamad Medical Corporation Doha 3050 Qatar Vice President for Medical and Health Sciences Office QU-Health Qatar University P.O. Box 2713 Doha Qatar

Hospitals are paramount hubs for delivering healthcare services, with their Operating Rooms (ORs) as a pivotal and financially substantial component. Efficient surgery ward planning is crucial in healthcare institutions, aiming to improve medical service quality while reducing costs. This research delves into the intricacies of integrated OR planning and scheduling, focusing on elective and emergency patients in an uncertain environment. To address these challenges, a mixed integer programming (MIP) framework is developed to minimize inactivity and patient wait times while optimizing high-priority resource allocation. Both upstream and downstream units of the ward, the Pre-operative Holding Unit (PHU), Post Anesthesia Care Unit (PACU), and Intensive Care Unit (ICU) are included. The inherently uncertain aspects of surgery, including surgical duration, Length of Stay (LOS), and the influx of emergency patients, demand an intelligent optimization approach. Consequently, a robust optimization strategy is harnessed to effectively grapple with this pervasive uncertainty. A deterministic model is introduced and improved using an enhanced epsilon constraint method. The culmination of this analytical journey yields a collection of Pareto-optimal solutions. Empirical results, supported by managerial insights, highlight the superiority of the proposed method over the traditional weighting approach. © 2024 The Author(s)

关键词： Elective patients Emergency patients mixed integer programming Multi-objective scheduling Surgery ward Uncertainty

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An evolutionary approach for the offsetting inventory cycle problem

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COGENT ENGINEERING 2017年第1期4卷 1-1页

作者： Franciosi, Chiara Carrabs, Francesco Cerulli, Raffaele Miranda, Salvatore Univ Salerno Dept Ind Engn Via Giovanni Paolo II 132 I-84084 Fisciano SA Italy Univ Salerno Dept Math Via Giovanni Paolo II 132 I-84084 Fisciano SA Italy

In inventory management, a fundamental issue is the rational use of required space. Among the numerous techniques adopted, an important role is played by the determination of the replenishment cycle offsetting which minimizes the warehouse space within a considered time horizon. The NP-completeness of the Offsetting Inventory Cycle Problem (OICP) has led the researchers towards the development and the comparison of specific heuristics. We propose and implement a genetic algorithm for the OICP, whose effectiveness is validated by comparing its solutions with those found by a mixed integer programming model. The algorithm, tested on realistic instances, shows a high reduction of the maximum space and a more regular warehouse saturation with negligible increase of the total cost. This paper, unlike other papers currently available in literature, provides instances data and results necessary for reproducibility, aiming to become a benchmark for future comparisons with other OICP algorithms.

关键词： replenishment cycle offsetting genetic algorithm inventory management OICP offsetting inventory cycle problem warehouse space joint replenishment problem mixed integer programming

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Cyclic solutions to a maritime inventory routing problem

MARITIME TRANSPORT RESEARCH

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MARITIME TRANSPORT RESEARCH 2022年 3卷

作者： Zojaji, Amir Soltaniani, Kiarash Hvattum, Lars Magnus Urrutia, Sebastian Molde Univ Coll Fac Logist Molde Norway

An inventory routing problem occurs when a company manages inventories both at production sites and consumption sites while also being in charge of the transportation of goods. We consider a maritime inventory routing problem where inventories are located at ports and a single product is transported between these ports using a heterogeneous fleet of vessels. As opposed to standard research on such maritime inventory routing problems, a model is developed that produces cyclic plans that are repeatable. Such plans are more costly than plans found using standard non-cyclic models, but the latter suffer from end-of-horizon effects due to being over-optimistic and making myopic decisions in accordance with an objective of minimizing costs.

关键词： mixed integer programming Transport End-of-horizon effect Short-sea shipping

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Modeling the medical and wellness tourism supply chain for enhanced profitability: An open innovation approach

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Journal of Open Innovation: Technology, Market, and Complexity 2023年第3期9卷

作者： Dinkoksung, Sairoong Pitakaso, Rapeepan Khonjun, Surajet Srichok, Thanatkij Nanthasamroeng, Natthapong Department of Hotel Management Faculty of Management Science Ubon Ratchathani University Ubon Ratchathani 34190 Thailand AIO SMART Laboratory Faculty of Engineering Ubon Ratchathani University Thailand Department of Engineering Technology Faculty of Industrial Technology Ubon Ratchathani Rajabhat University Thailand

This research article contributes to the advancement of the medical and wellness tourism supply chain through the development of a robust mathematical model aimed at optimizing profitability. Rooted in the principles of open innovation, our study delves into innovative avenues to enhance the economic sustainability of the sector. By strategically integrating diverse medical services including health assessments, dental care, beauty treatments, and spa services into the tourism framework, our model captures the intricate interplay among various stakeholders. Our findings underscore the current adequacy of supply chain capacities. However, a substantial challenge emerges in light of an anticipated 30% upswing in tourist volume, which necessitates a corresponding augmentation of medical facilities without commensurate increases in hotel and tourist route capacities. Rectifying this imbalance becomes pivotal in accommodating forthcoming demands effectively. The study identifies several pivotal factors—tourist numbers, medical center capacities, and resultant profits for supply chain participants—as key drivers of overall profitability. Embracing the tenets of open innovation empowers stakeholders to cultivate collaboration, shared knowledge, and collaborative solutions that optimize these factors, thereby fostering the economic viability of the broader ecosystem. This research offers insightful strategies for resource allocation optimization, operational efficiency enhancement, and sustainable economic growth within the realm of medical and wellness tourism. This contribution is intended to resonate with practitioners, policymakers, and industry stakeholders. © 2023 The Authors

关键词： Assignment Problem Great Mekong Subregion Medical Tourism Supply Chain mixed integer programming Post COVID-19

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Designing a cost-driven mechanism to reduce cancellation of elective surgeries

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Perioperative Care and Operating Room Management 2020年 18卷 100085-100085页

作者： Hajiaghapour, Kamand Sepehri, Mohammad Mehdi Khasha, Roghaye Healthcare Systems Engineering Faculty of Industrial and Systems Engineering Tarbiat Modares University Tehran *** Iran Research Scholar Center of Excellence in Healthcare Systems Engineering Tarbiat Modares University Tehran *** Iran

Background: A significant portion of each country's budget is assigned to its health care system annually. Given the current economic conditions, saving costs is a key issue. Therefore, any situation that leads to lower efficiency and higher costs should be remedied. With much of the hospitals' budgets spent on operating rooms, it is important to use strategies to increase their efficiency and quality. The purpose of this study is to design a mechanism to reduce the cancellation of elective surgical procedures, which incurs considerable costs. Methods: To this end, the data gathered from an educational hospital in Tehran were evaluated. The reasons for the surgical cancellations were determined through data analysis and process identification. Subsequently, considering the contents of the current literature and consultations with the hospital staff, suggestions were made to reduce surgical cancellations. Finally, using a solution allocation model, the best solution in terms of costs, efficiency, and implementation time was assigned by using the Fuzzy Extended Analytical Hierarchy Process to each of the reasons and surgeries. Results: By solving the allocation model using the GAMs software, the solutions were assigned to specific reasons and surgeries. This solved model assigns the best solutions to cancellation reasons regarding solutions cost, efficiency and implementation time. Conclusions: The cancellation of the six investigated surgeries alone imposes on the hospital approximately 1165,653,450 rials annually, so it is true to assume that, in general, reducing the cancellation of surgery can reduce hospital costs considerably. © 2020 Elsevier Inc.

关键词： Cancellation Cost reduction Cost-driven Elective surgery Fuzzy extended AHP mixed integer programming

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The feeder-vehicle routing and high-speed-train assignment problem with time windows

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RESEARCH IN TRANSPORTATION BUSINESS AND MANAGEMENT 2021年 38卷

作者： Li, Hongqi Chen, Jun He, Shaokai Beihang Univ Sch Transportat Sci & Engn 37 Xueyuan Rd Beijing 100191 Peoples R China

The coordinated operation of intercity linehaul that relies on high-speed trains and urban transportation modes is important and necessary to maintain the service level of passenger transportation. To improve the performance of the high-speed railway station operation, this paper introduces the feeder-vehicle routing and high-speed-train assignment problem with time windows (FVRTAP-TW). The FVRTAP-TW objective is to minimize the average of passengers' delaying time at the high-speed railway station through optimizing feeder-vehicle routes and passengers' assignments to high-speed trains. The FVRTAP-TW has the characters of time windows, assignment decisions on the connection between urban transport and intercity linehaul, and heterogeneous fleets. We define the FVRTAP-TW and develop a mathematical model. An adaptive large neighborhood search (ALNS) algorithm is proposed. Computational experiments are conducted to test the model and the ALNS algorithm. Computational results indicate that it is practicable and necessary to improve the service level of the high-speed railway station and the passenger experiences by considering the interaction of urban-transport routes and the schedule high-speed trains.

关键词： Routing Transfer High-speed railway station mixed integer programming Adaptive large neighborhood search

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A supply chain configuration model for reassessing global manufacturing in China

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JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT 2013年第5期24卷 669-687页

作者： Huang, George Q. Zhang, Abraham Liu, Xiaming Univ Hong Kong Dept Ind & Mfg Syst Engn Hong Kong Hong Kong Peoples R China Nanyang Technol Univ Sch Civil & Environm Engn Div Infrastruct Syst & Maritime Studies Singapore Singapore Univ London Birkbeck Coll Sch Business Econ & Informat Dept Management London England

Purpose - Global manufacturers have faced unprecedented cost pressures in China because of Chinese currency appreciation, rising labour costs, higher oil prices and reduced value-added tax rebates. This paper aims to reassess the decision of operating global manufacturing facilities in China. Design/methodology/approach - A mixed integer programming model is developed for a typical global manufacturing supply chain that includes production in the Pearl River Delta region and trade in Hong Kong. A case study with a footwear product is used to illustrate model application and present detailed analyses. Findings - The modelling results affirm the need of relocating labour-intensive production that mainly competes on low costs. Nevertheless, coastal China offers considerable benefits from industrial clustering and a logistics advantage in comparison with inland China and Asian countries where labour costs are still relatively low. Hong Kong remains a robust location choice for trade operations because of its favourable tax policies. Practical implications - Retaining production in China faces high risks from Chinese currency appreciation, while relocation to lower-cost Asian countries is more vulnerable to risks from high oil prices. An intermediate trade operation in Hong Kong can be used to hedge against risks from unfavourable tax policy changes at manufacturing locations. Originality/value - China has risen to an important position in global manufacturing because of its cost advantages. This paper analyzes the new phenomenon of dramatically increasing cost pressures in China. It develops a first-of-its-kind supply chain configuration model for the popular front-shop-back-factory business model in China.

关键词： Supply chain management Global manufacturing Facility location China Front-shop-back-factory mixed integer programming

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Models for petroleum field exploitation

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Mathematical and Computer Modelling 1989年第9期12卷 1175-1175页

作者： Haugland, Dag Hallefjord, Åsa Asheim, Harald Chr. Michelsen Institute Department of Science and Technology Bergen Norway Norwegian Institute of Technology Trondheim Norway

This paper presents some models for an early evaluation of a petroleum field. Based on crude assumptions about a reservior, our models suggest decisions concerning platform capacity, drilling programme and production. We start out with a simple production planning model using linear programming. By mixed integer programming techniques the model is gradually extended. The most sophisticated version of the model can propose platform capacity, where and when wells should be drilled, and the production from the wells. The models are tested on numerical examples, and the results are discussed. From the experiments we conclude that the problems are very hard to solve, and that the size of problems that can be solved is limited by the computational burden. Finally, we give some ideas for future work that may provide better solution methods. © 1989.

关键词： mixed integer programming optimization Petroleum

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