scholarly journals Trend of BS 8900: 2006 Guidance for Managing Sustainable Development Application in Thai Logistics Service Providers

2014 ◽  
Vol 6 (5) ◽  
pp. 226-233
Author(s):  
Pareeyawadee Ponanake

The research aimed to study 1) the opinions of Thai logistics provider towards BS8900:2006 Guidance for Managing Sustainable Development and 2) the trend of Thai logistics providers towards the application of BS8900:2006 Guidance for Managing Sustainable Development. Populations were Freight Forwarding service providers on the list of Thailand’s logistics service providers for freight forwarding service and TIFFA including international logistics company i.e. UPS, DHL, TNT and FedEX. The sample groups were random by multi stage sampling. The size of sample group was 168 persons. The research methods were questionnaires which were analyzed by percentage, Mean, Standard Deviation, and inferential statistics perfuming by Logistic Regression. The research found that 1) the opinions of Thai logistics providers towards BS8900:2006 Guidance for Managing Sustainable Development was strongly agreement 2) The probability of application of BS8900:2006 Guidance for Managing Sustainable Development was increased 2.134 times and the accuracy of forecast was 84.5%

2014 ◽  
Vol 5 (4) ◽  
pp. 66-75
Author(s):  
Katarzyna Rudnik ◽  
Iwona Pisz

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jessica Wehner ◽  
Naghmeh Taghavi Nejad Deilami ◽  
Ceren Altuntas Vural ◽  
Árni Halldórsson

PurposeThis paper discusses logistics service providers' (LSPs’) energy efficiency initiatives for sustainable development, both from an evolutionary perspective and based on a framework consisting of actions, processes (i.e. at the operations interface) and services (i.e. at the customer interface).Design/methodology/approachFollowing a qualitative research design, semi-structured interviews were conducted with sustainability managers at LSPs and the data were analysed via inductive coding. Based on the results and the literature, the authors developed a maturity model for LSPs' transitions to environmental sustainability.FindingsLSPs' sustainable development occurs via operational processes, services at the customer interface, and actions that support those processes and services. Energy efficiency efforts are characterised by process depth that helps LSPs to align with their customers' energy efficiency improvement processes. While services related to energy efficiency connect LSPs and their customers, actions in support vary depending on the logistics activities in which LSPs participate.Research limitations/implicationsFurther research is needed to test and verify the maturity model and to clarify the interdependency of its three dimensions.Practical implicationsBy categorising energy efficiency initiatives and proposing a maturity model for LSPs' sustainable development via energy efficiency, the authors have developed a tool for logistics actors to assess their progress towards improved sustainability.Originality/valueThe paper contributes to the literature by providing a three-pillar framework to understand the sustainability transitions of LSPs through energy efficiency. Developing a maturity model using this framework also contributes to the literature with an approach to assess sustainability advancement in the logistics industry.


Author(s):  
Angela A. D’amato ◽  
Sipho Kgoed ◽  
Grant Swanepoel ◽  
Jacobus Walters ◽  
Adri Drotskie ◽  
...  

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.


2020 ◽  
Vol 12 (23) ◽  
pp. 10174
Author(s):  
Ratapol Wudhikarn ◽  
Nopasit Chakpitak ◽  
Gilles Neubert

This research developed a new integrated method for addressing the deficiencies and gaps generally found in past studies on benchmarking and for benchmarking intellectual capital (IC) in the underdeveloped domain of logistics. To resolve the lack of consideration of relationships among past benchmarking concepts and the impacts of their managerial factors, as well as to examine the wide range of elements and indicators of IC influencing the sustainable development of organizations, the proposed approach integrated the analytic network process and the concept of thinking and non-thinking assets with the generic benchmarking procedure. This new hybrid method was implemented in four commercial companies in courier service. The proposed method prioritized and identified the magnitudes of the factors focused upon, including the IC elements, and their performance measures by considering the fundamental characteristics of intangible assets. The obtained results highlight that management focuses on the IC of the best performer and other companies. This benchmarked outcome showed gaps and improvement as well as sustainable development opportunities for inferior logistics companies. The improved framework provides more systematic and specific benchmarking processes to consider, obtain, and compare the in-depth details of IC management. Moreover, ours is the first research on benchmarking that specifically focused on IC management in logistics service providers.


Author(s):  
Ariadni Papana Dagiasis

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.


Author(s):  
Chatwadee Tansakul ◽  
◽  
Jirachai Buddhakulsomsiri ◽  
Thananya Wasusri ◽  
Papusson Chaiwat ◽  
...  

2021 ◽  
Vol 13 (14) ◽  
pp. 8040
Author(s):  
Irina Dovbischuk

As a result of globalization and the growing importance of environmental and social issues, scholars have started to update the scope of logistics management and capture its complexity using different theoretical perspectives. The output of logistics services also encompasses the so-called negative by-products, which have been increased in past decades and stress the need for a standardized, comprehensive and quantitative performance measurement. The reduction of the negative by-production, e.g., decarbonization in the transport industry, is commonly associated with a higher degree of logistics performance using different capabilities. Research aims of the study are twofold: to show the decisive components for sustainability performance of a logistics service provider (LSP) and to outline internal capabilities of LSPs as indicators of its sustainability-oriented firm performance. In the first step, firm performance is sampled using the lenses of sustainability. For this purpose, general and transport-related sustainability frameworks are summarized to identify how they differ in sustainability dimensions in order to help LSPs contribute to the 17 Sustainable Development Goals. In the second step, decisive and evidence-based capabilities as indicators of sustainability-oriented performance are outlined using mixed methods by reviewing the literature.


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