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.

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 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.

Necessary and sufficient antecedents of customer loyalty to logistics service providers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ilias Vlachos
Keyword(s):  
Regression Analysis ◽  
Customer Loyalty ◽  
Structural Equation ◽  
Service Providers ◽  
Sufficient Conditions ◽  
Qualitative Comparison ◽  
Content Type ◽  
Logistics Service ◽  
Logistics Service Providers ◽  
Necessary And Sufficient

Purpose The purpose of this paper is to empirically study the necessary and sufficient antecedents of customer loyalty to logistics service providers (LSPs). Despite the abundance of loyalty studies, few studies have empirically examined the complex causal relationships between loyalty and its antecedents using the appropriate research methods. Design/methodology/approach The study uses fuzzy sets qualitative comparison analysis (FsQCA) to uncover the antecedents and antecedent configurations of customer loyalty. This study examined the necessity and sufficiency of five antecedents (operational collaboration, strategic collaboration, trust, service satisfaction and price satisfaction) and on five dimensions of loyalty (repurchase intension, switching costs, exclusiveness, referrals and overall loyalty). This study developed six research hypotheses based on existing literature and tested them empirically in a manufacturing context. This study compared results from FsQCA with regression analysis. Findings The findings reveal that only a few antecedent configurations lead to customer loyalty, including a combination of strategic and operational collaboration, bundling of service offerings and combining competitive price with strategic collaboration. Further, the absence of trust negatively affects loyalty, but the presence of trust does not lead to loyalty. Research limitations/implications This study contributes to business to business literature by demonstrating how to use FsQCA analysis to test the presence of equifinality, conjunction and causal asymmetry of complex relationships. This study applies FsQCA between antecedent factors and customer loyalty. Furthermore, we demonstrate how to compare and integrate FsQCA with conventional regression analysis which is based on correlation-bounded logic. Practical implications This study shows that no single antecedents that can generate loyalty, yet, few antecedent configurations work better than others: collaborating at both strategic and operational level with your partner has the highest impact on loyalty. Another configuration that leads to loyalty is to combine competitive prices with strategic collaboration, which particularly stimulates repurchase decisions. Price is are not sufficient enough to lead to customer loyalty. Originality/value This study applied a novel analysis to uncover necessary and sufficient conditions that conventional methods such as regression analysis and structural equation modelling have limited power.

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
Keyword(s):  
Sustainable Development ◽  
Logistic Regression ◽  
Service Providers ◽  
Sample Group ◽  
Logistics Service ◽  
Multi Stage ◽  
Logistics Company ◽  
Logistics Service Providers ◽  
Freight Forwarding ◽  
Development Application

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%

A GAP ANALYSIS IN SERVICE QUALITY OF THAI LOGISTICS SERVICE PROVIDERS

2013 ◽  
Author(s):  
Chatwadee Tansakul ◽  
◽  
Jirachai Buddhakulsomsiri ◽  
Thananya Wasusri ◽  
Papusson Chaiwat ◽  
...  
Keyword(s):  
Service Quality ◽  
Gap Analysis ◽  
Service Providers ◽  
Logistics Service ◽  
Logistics Service Providers

scholarly journals Sustainable Firm Performance of Logistics Service Providers along Maritime Supply Chain

2021 ◽  
Vol 13 (14) ◽  
pp. 8040
Author(s):  
Irina Dovbischuk
Keyword(s):  
Firm Performance ◽  
Sustainable Development Goals ◽  
Service Providers ◽  
Social Issues ◽  
Logistics Service ◽  
Theoretical Perspectives ◽  
Logistics Service Providers ◽  
Development Goals ◽  
Quantitative Performance ◽  
By Products

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.

scholarly journals Modeling logistics service providers in a non-cooperative supply chain

2016 ◽  
Vol 40 (13-14) ◽  
pp. 6340-6358 ◽  
Author(s):  
Ernesto D.R. Santibanez-Gonzalez ◽  
Ali Diabat
Keyword(s):  
Supply Chain ◽  
Service Providers ◽  
Logistics Service ◽  
Logistics Service Providers
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