scholarly journals Convergence of logistics planning and execution in outsourcing

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Angela A. D’amato ◽  
Sipho Kgoed ◽  
Grant Swanepoel ◽  
Jacobus Walters ◽  
Adri Drotskie ◽  
...  
Keyword(s):  
Service Providers ◽  
Business Success ◽  
Logistics Service ◽  
Potential Value ◽  
Logistics Company ◽  
Logistics Service Providers ◽  
Planning Function ◽  
Successful Business ◽  
The Impact ◽  
Practical Impact

Background: Logistics service providers (LSPs) are becoming increasingly involved in their clients’ businesses. Beyond just providing vehicles and buildings, LSPs are now becoming involved with knowledge-related work that is connected to the traditional services provided.Objectives: To investigate the likelihood and potential value of LSPs extending their range of services to their clients by means of a convergence of planning and execution activities.Method: In the research through a literature review and empirical study presented here, attention is given to the practical impact that convergence planning and execution functions have on business success, as well as how selected clients of an LSP (referred to in this article as logistics company A or LCA) perceive the impact of increased integration of LCA within its businesses. The results should assist LCA and other LSPs considering the same objective to ascertain the opportunities and key requirements associated with a strategy to converge planning and execution activities for their clients.Results: The study found that the vast majority of respondents see value in the convergence of planning and execution activities.Conclusion: Such convergence will be challenging, owing to the importance of the planning function for clients, as well as key collaborative and measurement requirements that will have to be put in place for successful business integration.

Textile and Clothing Exporting Firms' Evaluation of LSPs' Capabilities and Logistics Outsourcing Performance

2017 ◽  
pp. 185-207 ◽  
Author(s):  
Yasmine El Meladi ◽  
Richard Glavee-Geo ◽  
Arnt Buvik
Keyword(s):  
Service Providers ◽  
Service Innovation ◽  
Theoretical Framework ◽  
Resource Based View ◽  
Logistics Outsourcing ◽  
Exporting Firms ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Logistics Services ◽  
The Impact

Using resource-based view (RBV) as the main theoretical framework, this chapter examines the impact of logistics service providers' capabilities on logistics outsourcing performance from the perspective of textile and clothing exporting companies in Egypt. The study focuses on three resource capabilities acquired by logistics service providers (flexibility, expertise, and innovativeness) in a specific LSP-Client outsourcing relationship. The study identified flexibility and expertise as strong drivers of logistics outsourcing performance. No support was found for LSPs innovativeness as a driver of outsourcing performance. This may be because of the standardized logistics services provided by LSPs to exporters in the textile and clothing industry, which requires less service innovation within the empirical setting. Implications of the study for management are highlighted along with suggestions for further studies.

scholarly journals Probabilistic Fuzzy Approach to Evaluation of Logistics Service Effectiveness

2014 ◽  
Vol 5 (4) ◽  
pp. 66-75
Author(s):  
Katarzyna Rudnik ◽  
Iwona Pisz
Keyword(s):  
Service Providers ◽  
Inference System ◽  
New Approach ◽  
Service Effectiveness ◽  
Logistics Service ◽  
Logistics Company ◽  
Time Period ◽  
Logistics Service Providers ◽  
Logistics Services ◽  
Effective Performance

Abstract Logistics service providers offer a whole or partial logistics business service over a certain time period. Between such companies, the effectiveness of specific logistics services can vary. Logistics service providers seek the effective performance of logistics service. The purpose of this paper is to present a new approach for the evaluation of logistics service effectiveness, along with a specific computer system implementing the proposed approach – a sophisticated inference system, an extension of the Mamdani probabilistic fuzzy system. The paper presents specific knowledge concerning the relationships between effectiveness indicators in the form of fuzzy rules which contain marginal and conditional probabilities of fuzzy events. An inference diagram is also shown. A family of Yager's parameterized t-norms is proposed as inference operators. It facilitates the optimization of system parameters and enables flexible adjustment of the system to empirical data. A case study was used to illustrate the new approach for the evaluation of logistics service effectiveness. The approach is demonstrated on logistics services in a logistics company. We deem the analysis of a probabilistic fuzzy knowledge base to be useful for the evaluation of effectiveness of logistics services in a logistics company over a given time period.

scholarly journals Evolutionary Game Analysis on Last Mile Delivery Resource Integration—Exploring the Behavioral Strategies between Logistics Service Providers, Property Service Companies and Customers

2021 ◽  
Vol 13 (21) ◽  
pp. 12240
Author(s):  
Lin Zhou ◽  
Yanping Chen ◽  
Yi Jing ◽  
Youwei Jiang
Keyword(s):  
Service Providers ◽  
Evolutionary Game ◽  
Resource Integration ◽  
Strategic Integration ◽  
Service Companies ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Last Mile ◽  
Last Mile Delivery ◽  
The Impact

As resource integration plays a significant part in improving operational efficiency in the last mile delivery industry, there is an increasing popularity for logistics service providers (LSPs) to collaborate with property service companies (PSCs). Based on the evolutionary game theory, considering the dual role of PSCs when collaborating with LSPs, a trilateral evolutionary game model between PSCs, LSPs, and customers (Cs) is established to analyze the strategic choices and explore the influencing factors on the tripartite strategy. The results show that (1) There are optimal profit allocation coefficients and cost-sharing coefficients to cause the system to reach a steady state. (2) The integration cost between LSPs and PSCs and the home delivery cost inhibit the strategic integration of the two enterprises. (3) PSCs are more sensitive to their benefits and costs than LSPs in the process of resource integration. (4) More precisely evaluating their potential loss caused by temporary integration will help the tripartite to make a more scientific choice of strategic behavior. (5) The increase of community premium income helps to improve the enthusiasm of Cs supporting strategic integration. (6) The behavior and decision-making choices of the three game players affect each other in the last mile delivery resource integration. (7) The indirect benefits, such as advertising during their integration, play a positive role. Finally, the MATLAB2020a software is applied to simulate and analyze the impact of key factors on strategy evolution, and we propose several useful suggestions to promote the development of last mile delivery resource integration.

Do ISO standards favour logistics provider efficiency, competitiveness and sustainability? A Slovenian perspective

2015 ◽  
Vol 26 (2) ◽  
pp. 275-295 ◽  
Author(s):  
Patricija Bajec ◽  
Danijela Tuljak-Suban ◽  
Evelin Krmac
Keyword(s):  
Service Providers ◽  
Quality Standards ◽  
Small Sample ◽  
Iso 14001 ◽  
Logistics Industry ◽  
Content Type ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this paper is to investigate the prevalence of the application of standards and their positive influence on the efficiency and competitiveness of Slovenian logistics service providers. Moreover, an analysis was also done on the relationship between the adoption of the environmental standard and greater concern for the environment. Design/methodology/approach – A small sample analysis was done using a combination of statistical methods and an abductive approach. A χ2 analysis was utilized to test the hypotheses. Findings – Many benefits were indicated. However, a positive relationship between quality standards and efficiency, as well as competitiveness, was not confirmed. In addition, the implementation of ISO 14001 quality standards was found to have no effect on the higher investment in environmental protection. Research limitations/implications – This study is limited by its local aspect (Slovenia), small sample size and its focus on just quality standards and their external factors. Future studies should be extended to the countries of eastern Europe and should further examine the relationship of internal factors as well as the relationship between the adoption of quality standards and the supply chain. Practical implications – A survey is essential not just for the Slovenian industry but also for the wider logistics industry as well as for government authorities and standards providers. Originality/value – This is one of the first papers written to analyse the effects of quality standards on international logistics service providers and the first paper that has explored the impact of standards on Slovenian logistics service providers.

Logistics Modeling and Forecasting with Regression

2013 ◽  
pp. 223-237 ◽  
Author(s):  
Ariadni Papana Dagiasis
Keyword(s):  
Regression Analysis ◽  
Service Providers ◽  
Demand Forecasting ◽  
Model Fitting ◽  
Alternative Strategies ◽  
Logistics Service ◽  
Logistics Company ◽  
Logistics Service Providers ◽  
Modeling And Forecasting ◽  
Fitting Model

In this chapter, the method of multiple regression is introduced for describing the functional relationship among several variables, as well as for predicting the values of a variable from the values of a group of variables. The tools for model fitting, model validation, and prediction are presented, while emphasis is given on understanding the types of data that can be analyzed via regression. More specifically, the method of least squares is discussed. Regression analysis is proposed due to its simplicity and wide applicability. Modeling outsourcing or demand forecasting can both be achieved by regression analysis, providing useful information for logistics service providers or 3PL companies. Hauling freight data collected from a logistics company based in Ohio were utilized to demonstrate the applicability of regression analysis and its usefulness for logistics service providers, 3PL companies, and transportation companies. Finally, limitations, solutions, and alternative strategies are discussed.

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