Model-based potential analysis of the distribution logistics: a case study

Becker, Julian; Görke, Matthias; Felix, Carolin; Schmidt, Matthias

doi:10.1080/09537287.2016.1166279

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…Therefore, the purpose of the analysis is to determine the scope of the optimisation of individual logistics models from the point of view of how individual logistics costs categories and processes are treated. Figure 5 shows the treatment of individual logistics costs by year for the period from 1985 to 2018 [6,7,31,5,12,41,4,10,15,39,21,19,33,30,17,37,1,13,2,34,23,29,24,20]. During this period, the authors developed various logistics cost models that focus mostly on handling transport costs (36%), stocks costs (36%) and warehousing costs (18%).…”

Section: Resultsmentioning

confidence: 99%

“…Figure 6 shows the individual logistics processes within the treatment of logistic models 2018 [6,7,31,5,12,41,4,10,15,39,21,19,33,30,17,37,1,13,2,34,23,29,24,20]. In the period from 1985 to 2018, the authors mainly dealt with the optimisation of the distribution process (57%), followed by the purchasing process (32%) and Figure 5 Individual logistics costs within the treatment of logistics models Source: Author internal processes (11%).…”

Section: Resultsmentioning

confidence: 99%

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An Overview of the Problematic Issues in Logistics Cost Management

Muha

2019

Pomorstvo (Online)

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Logistics cost management is associated with certain specific challenges, since increasing the quality of logistics services for customers often comes with increased logistics costs. In addition, reducing the costs of one logistic component causes an increase in the costs of another logistic component, which results in higher total logistics costs. Various cost models have been developed to support the optimisation of logistics activities, which represent the main focus of research and a key practical tool for logistics management. The purpose of the study is therefore to determine whether current scientific studies are addressing the issues related to logistics cost management. The aim of the study is to determine the scope of the optimisation of individual logistics models from the point of view of how individual logistics costs categories and processes are treated. The analysis of logistics costs management issues provides an important empirical foundation for the improvement of logistic processes in supply chains and synthesises scientific literature in the field of logistics cost modelling, which represents an important framework for future empirical studies.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

An Overview of the Problematic Issues in Logistics Cost Management

Muha

2019

Pomorstvo (Online)

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“…Kim et al (2015) developed a multi-stage stochastic programming model to optimise the inventory control policy of perishable products and take into account delivery and warehousing costs. Becker et al (2016) developed a method for analysing the potential of distribution logistics in terms of logistics costs, delivery time and delivery reliability. Perera et al (2018) studied a single-stage, continuous-time inventory model where unit-sized demands arrive according to a renewal process and show that an (s, S) policy is optimal under minimal assumptions on the ordering/procurement and holding/backorder cost functions.…”

Section: Literature Reviewmentioning

confidence: 99%

A Model for Managing Logistics Costs Throughout a Product’s Life Cycle: A Case Study of a Multinational Manufacturing Company

Škerlič

Sokolovskij

2019

Transport

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The goal of the study is to develop a model that focuses on managing logistics costs at all stages of a product’s life cycle. The model includes several different cost components and provides a wider coverage of individual processes, as logistics costs are present in different areas of a company’s operations. The applicability of the proposed method was tested in a multinational company that manufactures furniture fittings on a randomly selected product. The test results provide a theoretical and practical confirmation of the necessity to manage the logistics costs for an individual product, since other models are focused exclusively on the cost optimisation of individual logistics processes. The model therefore complements the existing knowledge and represents a practical tool for logistics professionals that enables more efficient logistics costs planning at an early stage in the development of a product, which can result in the long-term reduction in the total costs of logistics and improve the quality of business processes.

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