Optimal scheduling plan for a coal shipment problem: An efficient approach

Wu, Tai‐Hsi; Huang, Kai-I; Chen, Wei-Shing

doi:10.1016/0360-8352(95)00122-h

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…Then, these two problem are iterated. This technique has been widely used to solve manufacturing problems (Wu et al 1995, Heragu and Chen 1998, Liaw 1998.…”

Section: Solution Proceduresmentioning

confidence: 99%

Integrated model for supplier selection and negotiation in a make-to-order environment

Cakravastia

Takahashi

2004

International Journal of Production Research

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The paper deals with the development of an integrated supplier selection and negotiation process for multiple parts/materials procurement. The main objective is to integrate decisions in the internal supply chain of a make-to-order manufacturer. Two main decisions during the negotiation process are considered:(1) the manufacturing planning decision responsible for determining the production schedule and fabrication lot size and (2) the supplier selection decision concerning which suppliers are selected for company business and the order volume allocated to each selected supplier. The model is designed to support the negotiation process by generating a set of effective alternatives in each negotiation period. Its structure is multi-objective and non-linear. The combination of the interactive weighted Tchebycheff method and Benders decomposition method is applied to generate a set of effective alternatives to support the decision-maker in each negotiation period. IntroductionThe business nature of the make-to-order (MTO) environment leads to procurement activity playing a significant role in determining a company's competitiveness. Unlike the assembly-to-order and make-to-stock environments, for MTO the procurement process is conducted after an order from a customer has been confirmed. Therefore, the material procurement lead time is taken into account when defining the total competitive lead time. Jahnukainen and Lahti (1999) also addressed the importance of an efficient purchasing process on the MTO supply chain by finding that purchased components account for 70-80% of the product cost in this business environment. Therefore, in this business the performance of a company depends on the performance of its suppliers.In the MTO procurement process, partner/supplier selection is often based on bidding and negotiation (Kingsman and Mercer 1997, Cakravastia andTakahashi 2003). For a comprehensive review of literature in the research on supplier selection, see De Boer et al. (2001). De Boer et al. extended a previous review by Weber et al. (1991), Holt (1998) and Degraeve et al. (2000). In the final choice phase, De Boer et al. explain that the approaches to model the supplier selection problem can be classified as rating/linear weighting model, total cost approaches model, mathematical programming model, statistical model and artificial intelligence-based model.

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“…Then, these two problem are iterated. This technique has been widely used to solve manufacturing problems (Wu et al 1995, Heragu and Chen 1998, Liaw 1998.…”

Section: Solution Proceduresmentioning

confidence: 99%

Integrated model for supplier selection and negotiation in a make-to-order environment

Cakravastia

Takahashi

2004

International Journal of Production Research

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“…In terms of coal transportation research, Wu et al (1995) and Liu and Sherali (2000) built a 0-1 mixed integer programming (MIP) model to investigate the problem of sea transportation of coal and solved the model with intelligent optimization algorithms, including branch and bound, Benders decomposition and GA. revealed the spatial pattern and temporal evolution of coal transportation along coastal ports in China. Considering costs and technical parameters, Ozfirat et al (2018) evaluated alternative transportation modes in the transportation process of coal via the fuzzy analytic hierarchy process (FAHP).…”

Section: The Cargo Owner's Fleet Perspectivementioning

confidence: 99%

Optimization of fleet structure and investment evaluation – the cargo owner's fleet perspective

Jiang

Wang

Sun

et al. 2022

MABR

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PurposeEnergy groups are cargo owners with large amounts of energy sources (such as coal) to transport. To achieve a satisfactory tradeoff between the reliability requirements of the sea transportation process and the need to control the investment cost, they usually set up a self-owned fleet supplemented by a chartered fleet. This paper aims to investigate the best fleet structure and to evaluate the investment scheme under volatile circumstances in the shipping market.Design/methodology/approachThe authors construct a mathematical model to determine the ratio of the self-owned fleet to the total fleet to minimize fleet operating costs. The volatility of both freight rates and oil prices is taken into consideration. The CPLEX solver is used to empirically analyze real data from an energy group in China, and the ship investment plan is evaluated considering the technical and economic feasibility.FindingsIf the ratio of the self-owned fleet to the total fleet is increased to the optimal of 90.40%, the total operating cost is reduced by 33.98%. Thus, the energy group should increase its capacity with a Panamax vessel of approximately 82,000 DWT. Purchasing a 5-year-old secondhand ship and building a new ship both have good investment return indicators.Originality/valueFor cargo owners engaging in transporting bulk cargo domestically in China, the suggested fleet ratio can provide a reference with a universal application scale, given the boundary economic conditions (including the volatility of freight rates and oil prices in the shipping market) in the paper.

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A multimodal, multicommodity, and multiperiod planning problem for coal distribution to poor families

Akgün

Özkil

Goren

2020

Socio-Economic Planning Sciences

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Optimal scheduling plan for a coal shipment problem: An efficient approach

Cited by 3 publications

References 2 publications

Integrated model for supplier selection and negotiation in a make-to-order environment

Integrated model for supplier selection and negotiation in a make-to-order environment

Optimization of fleet structure and investment evaluation – the cargo owner's fleet perspective

A multimodal, multicommodity, and multiperiod planning problem for coal distribution to poor families

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