ISM analysis of CPFR implementation barriers

Collaborative Planning, Forecasting and Replenishment (CPFR) as an interconnection scheme between organizations has been shown to have significant benefits. Since its inception in the 1990s, its uptake has been lower than originally predicted. This paper identifies the major barriers and their interrelationships in CPFR implementations with a focus on high-tech industries. Interpretive Structural Modeling (ISM) is used with a group of CPFR experts from industry/academia and Matrice d’Impacts Croisés Multiplication Appliquée àun Classement (MICMAC) analysis to identify the driving and dependence powers. The paper identified 45 CPFR barriers and classifies them into four categories based on expert opinion, with only 13 of these determined to be significant. The results indicate that in terms of categories, managerial barriers are a significant root cause for both process and cultural barriers and CPFR implementation difficulties. It also indicates that although the importance of information technology to launch collaborative schemes has been addressed by many scholars, technology alone is not the complete solution for successful CPFR implementation. The paper has significant practical implications for organizations as it identifies the main CPFR barriers and their causal relationships. This will help firms in the process of CPFR strategy development particularly for mitigation strategies for dominant barriers

Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects

Purpose: COVID-19 has disrupted global supply chains, revealing dreadful gaps and exposing vulnerabilities. Retailers are challenged to tackle risks and organise themselves to fit into the ‘new normal’ scenario. This global outbreak has established a volatile environment for supply chains; it has raised the question of survival in the market, forcing organisations to rethink resilient strategies to be adopted for the post pandemic situation to mitigate the long-term effects of this virus. This study explores the priorities for Retail Supply Chains (RSCs) to align their business operations and strategies for the post pandemic world. Design/methodology/approach: This study has utilised integrated Full Consistency Model (FUCOM) – Best Worst Method (BWM) methods for assessment of RSCs to enhance their business performance irrespective of pandemic disruptions. The FUCOM has been employed to identify the priorities of determinants enhancing business performance, whereas RSC strategies are evaluated using the BWM method. Finding: The current study identifies ‘Collaboration Efficiency’ as the main criterion for accelerating the performance of RSCs in a dynamic social environment. Also, the study concludes that ‘Order Fulfilment’ and ‘Digital RSCs’ are the most appropriate resilient business strategies to mitigate the long-term effects. Research limitations/implications: Supply-demand balancing is a challenging task at the moment, but highly significant for the future. The pandemic disruptions have placed intense pressure on retailers to deliver products as per consumers’ changing behaviours towards the purchase of essentials and other products. Hence, ‘Order Fulfilment’ and ‘Digitisation” strategies should be adopted for meeting customer requirements and to ensure sustainability in the post pandemic business world. Originality/value: This work sets out a comprehensive framework which will be helpful for accelerating RSCs performance against pandemic disruption by adopting resilient strategies to mitigate the long-term effects

Enhancing the supply chain collaboration model in the Nigerian oil and gas industry : a case study of performance improvement strategies

This research focuses on the issues of supply chain collaboration in the oil and gas industry, specifically in Nigeria. global inflation, geopolitical events, logistic complexity, worldwide pandemics, cultural reorientation, information system difficulties, process integration, and organisational restructuring are among the listed challenges. There is a paucity of frameworks or models in the existing literature to handle these supply chain collaboration difficulties unique to the oil and gas sector. Four supply management theories (Resource Dependency Theory, Transaction Cost Theory, System Theory, and Network Theory) were employed to support the thesis. The researcher was motivated by personal experiences and realising the importance of the oil and gas sector to Nigeria's existence, the researcher seeks to investigate how supply chain collaboration might lead to industry performance improvement. The researcher is particularly interested in comprehending supply chain dynamics in the Nigerian oil and gas industry, as well as how collaboration might reduce obstacles associated with obtaining inputs. The purpose is to provide a steady supply of oil and gas products on the market, enhance operations, and address challenges caused by poor infrastructure and unclear government policies. A qualitative research method was used to fulfil these study aims, with an emphasis on gaining insights from managers and employees at four selected companies: NNPC, A. A. Rano, Total Nigeria, and Rain Oil. The obtained data was thematically analysed to identify significant pattern about supply chain collaboration leading to performance improvement. The study contributes to existing knowledge by identifying sixteen key findings, which include goal alignment, teamwork, performance management, relationship management, timeliness and order management, quality management, infrastructure, decision making, finance, COVID-19 pandemics, infrastructure development, poor leadership, process monitoring and evaluation, business strategy management, training and development, and good planning. Moreover, this study fills a gap in the literature by integrating these sixteen findings to develop a supply chain collaboration model as an effective strategy for mitigating supply chain challenges in the Nigerian oil and gas industry. The model was validated by managers from the participating companies, affirming its potential for performance improvement. In conclusion, this study helps better understand the difficulties the Nigerian oil and gas supply chain faces. It also includes a verified model that can be used to improve performance and offers insights into the advantages of supply chain collaboration. To further knowledge in this field, recommendations are provided for future studies, such as use of quantitative research method, comparative or mixed-method research, to further examine supply chain problems in the Nigerian oil and gas sector and related themes using case studies.This research focuses on the issues of supply chain collaboration in the oil and gas industry, specifically in Nigeria. global inflation, geopolitical events, logistic complexity, worldwide pandemics, cultural reorientation, information system difficulties, process integration, and organisational restructuring are among the listed challenges. There is a paucity of frameworks or models in the existing literature to handle these supply chain collaboration difficulties unique to the oil and gas sector. Four supply management theories (Resource Dependency Theory, Transaction Cost Theory, System Theory, and Network Theory) were employed to support the thesis. The researcher was motivated by personal experiences and realising the importance of the oil and gas sector to Nigeria's existence, the researcher seeks to investigate how supply chain collaboration might lead to industry performance improvement. The researcher is particularly interested in comprehending supply chain dynamics in the Nigerian oil and gas industry, as well as how collaboration might reduce obstacles associated with obtaining inputs. The purpose is to provide a steady supply of oil and gas products on the market, enhance operations, and address challenges caused by poor infrastructure and unclear government policies. A qualitative research method was used to fulfil these study aims, with an emphasis on gaining insights from managers and employees at four selected companies: NNPC, A. A. Rano, Total Nigeria, and Rain Oil. The obtained data was thematically analysed to identify significant pattern about supply chain collaboration leading to performance improvement. The study contributes to existing knowledge by identifying sixteen key findings, which include goal alignment, teamwork, performance management, relationship management, timeliness and order management, quality management, infrastructure, decision making, finance, COVID-19 pandemics, infrastructure development, poor leadership, process monitoring and evaluation, business strategy management, training and development, and good planning. Moreover, this study fills a gap in the literature by integrating these sixteen findings to develop a supply chain collaboration model as an effective strategy for mitigating supply chain challenges in the Nigerian oil and gas industry. The model was validated by managers from the participating companies, affirming its potential for performance improvement. In conclusion, this study helps better understand the difficulties the Nigerian oil and gas supply chain faces. It also includes a verified model that can be used to improve performance and offers insights into the advantages of supply chain collaboration. To further knowledge in this field, recommendations are provided for future studies, such as use of quantitative research method, comparative or mixed-method research, to further examine supply chain problems in the Nigerian oil and gas sector and related themes using case studies

The process improvement dilemma in dynamic 3PL firms: A systems and agency lens

For the past several decades, firms have been shifting from contending as autonomous entities to working and competing as part of supply chains. In this context, warehousing, transportation, and distribution needs are being increasingly outsourced to third-party logistics (3PL) firms. 3PL providers operate in fast-moving, time-sensitive, and priority-changing supply chain environments, constantly demanding efficient, cost-effective, and routinized responses. To attain the ultimate end of maximizing efficiency, reducing costs, and improving customer satisfaction, scholars and supply chain industry opinion leaders alike talk about process improvement as part of a broader organizational learning strategy to be pursued in order to keep a competitive edge. This thesis explores the relationship between daily bottom-line pressures and prioritization and the design, implementation, and control of process improvement initiatives in complex and dynamic 3PL service providers. It uses a systems-agency lens to unveil intra- and inter-firm relations around process improvement activity and the links with organizational learning. The study utilized multi-case study-based qualitative-interpretive methods used in conjunction with system dynamics and agency tools. Data collection was carried out through in-depth interviews with 41 employees from two 3PL service providers and complemented by two collaborative enquiry exercises organized for each case study firm. Contrary to recommendations made by scholars and industry leaders, this thesis has found that day-to-day operational firefighting in 3PL scenarios revolving around managing multiple demands, conflicting priorities, and unexpected events often prevail over less tangible process improvement and broader organizational learning goals. This is aggravated by constant cost-reduction pressures centering on human resources headcount deemed critical for the development of learning and improvement practices. Consequently, there is little evidence that the case study firms demonstrate the necessary conditions for process improvement and organizational learning to actually take place. The study also revealed that when process improvement does happen, its focus mainly centers on customer satisfaction or cost-saving, rather than on the improvement of shop floor work routines aiming at operational effectiveness. It also shows process improvement to be more reactive and ad hoc as opposed to the continuous, widespread, and long-term-oriented practices associated with continuous improvement and organizational learning

Propuesta de mejora en la gestión de inventarios de producto terminado en una pyme del sector calzado de cuero en Lima utilizando CPFR y pronóstico Arima

El presente trabajo de investigación se elabora a partir de la necesidad de reducir los niveles de inventario de producto terminado en la empresa Calzatura Moreyka, lo cual representa dinero inmovilizado, que posteriormente se convertirán en costos. Por ello, se trabajará en la disminución de estos inventarios como tema principal, buscando optimizar la gestión de inventarios que existe actualmente. Para lograr dicho objetivo, se propone la utilización de la metodología Collaborative Planning Forecasting and Replenishment (CPFR) junto con los pronósticos ARIMA, mejorando la gestión de inventarios e implementando la predicción del comportamiento de la demanda. Esta mejora se obtendrá a través de la mejora de los procesos como de los correctos pronósticos a realizarse. El proyecto está dividido en 4 capítulos. Durante el capítulo 1 se formulará el problema principal de acuerdo con los antecedentes presentes en el sector, los objetivos y la propuesta de solución que abarcan las posibles técnicas a utilizar para atacar las causas que originan el problema. Asimismo, se realizará el marco teórico y el estado del arte explicando casos de éxito sobre la utilización de las técnicas de solución planteadas. En el capítulo 2 se realizará el diagnóstico sobre la situación actual de la organización identificando los procesos de la empresa, el impacto y el análisis de las causas del problema. En el capítulo 3 se desarrollará todo lo correspondiente a la propuesta buscando que la hipótesis planteada pueda reducir el problema. Finalmente, el capítulo 4 consiste en la aplicación y validación evaluando el impacto que se obtuvo de la propuesta planteada.This research work is developed from the need to reduce the inventory levels of finished product in the Calzatura Moreyka Company, which represents immobilized money, which will later be converted into costs. For this reason, work will be done on reducing these inventories as the main issue, seeking to optimize the inventory management that currently exists. To achieve this objective, the use of the Collaborative Planning Forecasting and Replenishment (CPFR) methodology is proposed together with the ARIMA forecasts, improving inventory management and implementing the prediction of demand behavior. This improvement will be obtained through the improvement of the processes and the correct forecasts to be made. The project is divided into 4 chapters. During Chapter 1, the main problem will be formulated according to the antecedents present in the sector, the objectives and the proposed solution that includes the possible techniques to be used to attack the causes that originate the problem. Likewise, the theoretical framework and the state of the art will be carried out, explaining success stories about the use of the proposed solution techniques. In chapter 2 the diagnosis of the current situation of the organization will be carried out, identifying the company's processes, the impact and the analysis of the causes of the problem. In chapter 3 everything corresponding to the proposal will be developed, seeking that the hypothesis proposed can reduce the problem. Finally, chapter 4 consists of the application and validation evaluating the impact obtained from the proposed proposal.Trabajo de Suficiencia Profesiona

Investigating the Factors, Challenges, and Role of Stakeholders in Implementing Industry 5.0 and Its Impact on Supply Chain Operations: A Study of the Global Agri-Food Supply Chain

Industry 5.0 may assist businesses to become more constructive and competitive in the global economy in the Fifith Industrial Revolution era. Therefore, a critical review of prior literature is presented in this paper to examine how Industry 5.0 will impact supply chain operations within the agricultural sector. Additionally, it examines influencing factors, challenges, stakeholder roles, and recommendations identified from the literature. Industry 5.0 has multiple benefits for the agri-food sector such as improved agility, responsiveness, efficiency, productivity, precise decision-making, as well as cost-effectiveness

Research on Risk Management for Healthcare Supply Chain in Hospital

Purpose: Unlike the commercial industries, the risks arising from the healthcare industry’s internal system and the surrounding environment may cause serious consequences, even the patients’ health. Concerning the increasing emphasis on risk management in the healthcare supply chain environment, there is an urgent demand for a novel decision support method that supports supply chain risk management in the hospital setting. As the topic is still in the early stage and only a few systematic academic studies on this topic can be found over the last decades. This research aims to propose a novel comprehensive framework and integrated risk management model that takes explicit account of multiple types of risk factors in aiding decision-making as well as compares and ranks the current implemented alternative risk mitigation strategies using fuzzy set theory and multiple criteria decision analysis (MCDA) methods. Methodology: In pursuit of meeting the requirements of the research objectives, this research conducts empirical studies from both China and UK healthcare industries and follows three steps of risk management procedure based on the proposed framework to conduct risk factors identification, assessment and risk mitigation strategies identification. In order to ensure that the analysis is systematic and inclusive, various types of risk factors are identified through a related systematic literature review and are validated through a set of empirical studies. Risk assessment is conducted through two stages of questionnaire surveys and evaluated through Fuzzy Analytic Hierarchy Process (AHP) and Interpretive Structural Modelling (ISM). Thereafter, risk mitigation strategies are identified through conducted empirical studies and evaluated through Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Research Implications: This is the first study which has developed a comprehensive risk management framework in the healthcare supply chain that effectively integrates supply chain risk factors identification, risk assessment as well as mitigation strategy identification and evaluation. The novelty of the developed framework lies in the fact that a systematic and practical decision making tools are proposed supporting hospital managers making strategic decisions on healthcare supply chain risk management. Furthermore, compared with several studies using secondary data, this thesis uses empirical data to conduct the identification and evaluation of risk mitigation strategies, enabling the results closes to the reality of the situation in the healthcare setting. Practical Implications: The profile of risk sources, the priority weighting and inter-relationship among these risks and, the ranking of mitigation strategies provide a guideline for hospital managers to anticipate and proactively deal with potential risks. The proposed framework applies to both the UK and China healthcare industries, the finding can also be applied in other countries and regions