scholarly journals Modelo de optimización de la distribución logística de última milla frente a los bajos indicadores de satisfacción de los clientes de la empresa “Tu Envió Fácil SAS” en la ciudad de Bogotá

Author(s):  
Erik Yesid Bermúdez Hernández ◽  
Oscar Eduardo Sarmiento Saavedra

This work aims to address the problem presented by the company Tu Envió Fácil SAS, based on the low indicators of customer satisfaction. The main objective is to design a model of optimization of the logistics distribution of "last mile" against the low indicators that customers reveal about the company, mainly in the city of Bogotá, in the period between September 2019 and December 2019 For this, the theories of Supply Chain Management will be taken into account. Which allow to determine that there is a need to design the model to optimize and be able to make an improvement in the factors that are generating customer dissatisfaction and the low effectiveness of operations. It was established that the current indicators are adequate for the management of the last mile logistics distribution of the company and the urgency of the improvement measures to be taken is determined. One of the particular problems that stand out in the investigation is due to the road complexity that some cities have, either in terms of infrastructure, traffic or security that the couriers face, thus leading to the non-fulfillment of their work in relation to delivery of merchandise and customer dissatisfaction. Given this, this proposal intends to implement new methodological ways in the field of logistics as other alternatives in order to shorten the delivery and compliance times of the product and significantly improve the favorable rates of the company.

Author(s):  
Dick Verbeek

This case study has been developed to facilitate discussion about current supply chain management issues and potential solutions. The scenario presented in this case is very representative of the pressures experienced by supply chain managers. Namely, the need to reduce costs while maintaining quality and customer service. This case presents some unusual challenges and constraints that are unique to the cruise line industry. These constraints can provide an opportunity to explore new supply chain paradigms.


2018 ◽  
pp. 1181-1207 ◽  
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


2018 ◽  
pp. 871-897
Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


Author(s):  
Ulas Akkucuk

Supply chain management (SCM) is a continually evolving field, relying on breaking down internal and external organizational barriers to gain efficiencies, improve customer support and increase flexibility, thereby resulting in lower costs and increased market share. An emerging area in supply chain practice is green SCM, which integrates environmental management with traditional SCM. Green supply chain management is seen as an important step companies need to take on the road to sustainable practices. SCOR Model (Supply Chain Operations Reference) has been developed by the Supply Chain Council (SCC now merged with APICS) in order to guide companies applying SCM principles. The GreenSCOR model was also developed as an integrated green SCM tool that allows companies to manage their supply chain's environmental impacts, resulting in more efficient operations which have minimal impact on the environment. This chapter will talk about how SCM principles can be modified to reduce the adverse effects of company operations on the environment, especially using the GreenSCOR model.


Author(s):  
Nilüfer Rüzgar

In today's business environment, in which organizations try to outpace their rivals, the power of management and organization come into prominence. Management, as an art and science, constitutes great importance in terms of creating sustainability in the organizations, and sustainability acts as an important agent for being successful in the competition. Especially supply chain management is evaluated to be among the most crucial organizational activities, which needs to be heavily focused on, in order to create customer satisfaction in the process of product and/or service delivery. Furthermore, as it is known, supply chain management is the key element of transportation and logistics. This chapter scrutinizes the importance of management and organization in transportation and logistics. With this purpose, a literature review presents the study both in a historical and contemporary point of view.


Author(s):  
Rajwinder Singh ◽  
H.S. Sandhu ◽  
B.A. Metri ◽  
Rajinder Kaur

Supply chain is the process of continuous flow of products or services from source to the destination. Supply chain management has become an effective tool now a day to survive in this competitive world. Organizations do their best to harvest profits by adopting better supply chain management practices for competitive advantage and organizational performance. In this paper an attempt has been made to understand the relationship among supply chain practices, competitive advantage, and organizational performance using structural equation modelling. This research conceptualizes and develops five secondary dimensions of supply chain practices (Use of technology, SC speed, Customer satisfaction, SC integration, and Inventory management). The research also identifies four primary competitive advantage components (Inventory management, Customer satisfaction, Profitability, and Customer base identification) and six primary organizational performance components (Financial Performance, Market performance, SC competencies, Customer satisfaction, Stakeholder satisfaction, and Innovation and learning). The data for analysis was collected from top 10 non-livestock organized retail players operating in Punjab, Haryana, Chandigarh, New Delhi and, Gurgaon in India. The relationships in the proposed framework were tested using structural equation modelling. The results indicate that Indian retailers know that competitive advantage has high impact on SCP but they have less understanding in matching SCP and competitive advantage with organizational performance.


2016 ◽  
Vol 61 (3) ◽  
pp. 43-58 ◽  
Author(s):  
Osayuwamen Omoruyi ◽  
Chengedzai Mafini

Abstract To circumvent the possibility of business failure, small to medium enterprises in emerging economies face mounting pressure to increase the satisfaction of their customers. The adoption of supply chain management practices is critical to the provision of quality products and services as well as the satisfaction of customers by small to medium enterprises. This paper investigated the relationship between customer satisfaction, supply chain management practices and three input factors; namely, product quality, flexibility and product variety in small to medium enterprises. The study adopted a quantitative approach in which a four section questionnaire was distributed to 131 managers in small to medium enterprises based in Gauteng Province, South Africa. Hypotheses were tested using regression analysis. The results of the study revealed that product quality and flexibility predicted supply chain management practices. Supply chain management practices were also statistically significant, and mediated the relationship between customer satisfaction and product quality and flexibility. Based on these results, conclusions were drawn and appropriate recommendations were made.


Author(s):  
Ivan Russo ◽  
Ilenia Confente ◽  
David Gligor ◽  
Nicola Cobelli

PurposeThe purpose of this paper is to introduce qualitative comparative analysis (QCA) to the field of supply chain management and provide a detailed roadmap that supply chain researchers can utilize when applying this methodology.Design/methodology/approachData collection focused on the evaluation of product returns management practices as perceived by business customers who operate in a supplier–customer context. In order to analyze the data using the QCA approach, a multi-step analysis was developed.FindingsThe results indicate five solutions that lead to high levels of customer satisfaction. The existence of multiple sufficient configurations for customer satisfaction indicates equifinality because multiple alternative solutions can lead to the same outcome.Research limitations/implicationsThe authors make a methodological contribution by applying the QCA method to the field of supply chain management and providing a detailed roadmap that supply chain researchers can utilize.Practical implicationsThe authors provide managers five different and novel combinations of antecedents that lead to higher levels of customer satisfaction.Originality/valueThis study offers supply chain researchers a better understanding of when it is appropriate to use QCA and how to apply this methodology. From a theoretical perspective, past studies focused exclusively on the “net effects” of these antecedents, thus, did not capture the complexity of the relationships between these various antecedents and customer satisfaction. This is a noteworthy contribution as it highlights the complexity of the amalgam of relationships and factors that impact customer satisfaction within the context of reverse supply chain.


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