<p><strong>Authors:</strong></p><p>Waqas Mehmood, Yasir Liaqat, Nauman Iftikhar, Raza Syed Hassan</p><p><strong>Tutor:</strong></p><p>Petra Andersson</p><p><strong>Examiner:</strong></p><p>Helena Forslund</p><p><strong>Title:</strong></p><p>Managing Supply Chain Risks in Fresh Food Items – a case study on Makro-Habib Pakistan Limited – a wholesales chain in Pakistan</p><p><strong>Background:</strong></p><p>In today’s era, businesses are facing various types of risks which can be legal/political, social, operational/technical, natural and economic in nature. For this purpose, companies need to have effective risk management process to mitigate these risks. Especially companies like Makro-Habib who heavily rely on effective and efficient supply chain can gain competitive advantage if they manage the risks within their supply chain network.</p><p><strong>Research Questions:</strong></p><p>RQ-1: What are the most significant supply chain risks in fresh food items at Makro-Habib?</p><p>RQ-2: How can significant supply chain risks in fresh food items of Makro-Habib be mitigated through proposed action plan?</p><p><strong>Purpose:</strong></p><p>The purpose of this thesis is to contribute to the knowledge on how to manage risks in the fresh food supply chain</p><p><strong>Method:</strong></p><p>The empirical data and the conclusions which are drawn from it are based on qualitative facts that are gathered through interviews and questionnaires. The results/conclusions drawn from responses of the interviews of fresh food section heads of Makro-Habib and the literature. This thesis is written from a positivistic perspective with a deductive approach.</p><p><strong>Conclusion:</strong></p><p>Various risk mitigation strategies at strategic, operational and visibility level are suggested like coordination, information sharing, training, monitoring to counter the most significant fresh food supply chain risks which are wrong ordering, contamination of products and FIFO (loose practice).</p>

Authors: Waqas Mehmood, Yasir Liaqat, Nauman Iftikhar, Raza Syed Hassan Tutor: Petra Andersson Examiner: Helena Forslund Title: Managing Supply Chain Risks in Fresh Food Items – a case study on Makro-Habib Pakistan Limited – a wholesales chain in Pakistan Background: In today’s era, businesses are facing various types of risks which can be legal/political, social, operational/technical, natural and economic in nature. For this purpose, companies need to have effective risk management process to mitigate these risks. Especially companies like Makro-Habib who heavily rely on effective and efficient supply chain can gain competitive advantage if they manage the risks within their supply chain network. Research Questions: RQ-1: What are the most significant supply chain risks in fresh food items at Makro-Habib? RQ-2: How can significant supply chain risks in fresh food items of Makro-Habib be mitigated through proposed action plan? Purpose: The purpose of this thesis is to contribute to the knowledge on how to manage risks in the fresh food supply chain Method: The empirical data and the conclusions which are drawn from it are based on qualitative facts that are gathered through interviews and questionnaires. The results/conclusions drawn from responses of the interviews of fresh food section heads of Makro-Habib and the literature. This thesis is written from a positivistic perspective with a deductive approach. Conclusion: Various risk mitigation strategies at strategic, operational and visibility level are suggested like coordination, information sharing, training, monitoring to counter the most significant fresh food supply chain risks which are wrong ordering, contamination of products and FIFO (loose practice).

No description available.

Agriculture is undergoing extreme change. The introduction of new generation agricultural products has generated an increased need for efficient and accurate product segregation across a number of Canadian agricultural sectors. In particular, monitoring, controlling and preventing commingling of various wheat grades is critical to continued agri-food safety and quality assurance in the Canadian grain handling system. The Canadian grain handling industry is a vast regional supply chain with many participants. Grading of grain for blending had historically been accomplished by the method of Kernel Visual Distinguishability (KVD). KVD allowed a trained grain grader to distinguish the class of a registered variety of wheat solely by visual inspection. While KVD enabled rapid, dependable, and low-cost segregation of wheat into functionally different classes or quality types, it also put constraints on the development of novel traits in wheat. To facilitate the introduction of new classes of wheat to enable additional export sales in new markets, the federal government announced that KVD was to be eliminated from all primary classes of wheat as of August 1, 2008. As an alternative, the Canadian Grain Commission has implemented a system called Variety Eligibility Declaration (VED) to replace KVD. As a system based on self-declaration, the VED system may create moral hazard for misrepresentation. This system is problematic in that incentives exist for farmers to misrepresent their grain. Similarly, primary elevators have an incentive to commingle wheat classes in a profitable manner. Clearly, the VED system will only work as desired for the grain industry when supported by a credible monitoring system. That is, to ensure the security of the wheat supply chain, sampling and testing at some specific critical points along the supply chain is needed. While the current technology allows the identification of visually indistinguishable grain varieties with enough precision for most modern segregation requirements, this technology is relatively slow and expensive. With the potential costs of monitoring VED through the current wheat supply chain, there is a fundamental tradeoff confronting grain handlers, and effective handling strategies will be needed to maintain historical wheat uniformity and consistency while keeping monitoring costs down. There are important operational issues to efficiently testing grain within the supply chain, including the choice of the optimal location to test and how intensively to test. The testing protocols for grain deliveries as well as maintaining effective responsiveness to information feedback among farmers will certainly become a strategic emphasis for wheat handlers in the future. In light of this, my research attempts to identify the risks, incentives and costs associated with a functional declaration system. This research tests a series of incentives designed to generate truthful behavior within the new policy environment. In this manner, I examine potential and easy to implement testing strategies designed to maintain integrity and efficiency in this agricultural supply chain. This study is developed in the first instance by using an analytic model to explore the economic incentives for motivating farmer’s risk control efforts and handlers’ optimal handling strategies with respect to testing cost, penalty level, contamination risks and risk control efforts. We solve for optimal behavior in the supply chain assuming cost minimization among the participants, under several simplifying assumptions. In reality, the Canadian grain supply chain is composed of heterogeneous, boundedly rational and dynamically interacting individuals, and none of these characteristics fit the standard optimization framework used to solve these problems. Given this complex agent behavior, the grain supply chain is characterized by a set of non-linear relationships between individual participants, coupled with out of equilibrium dynamics, meaning that analytic solutions will not always identify or validate the set of optimized strategies that would evolve in the real world. To account for this inherent complexity, I develop an agent-based (farmers and elevators) model to simulate behaviour in a more realistic but virtual grain supply chain. After characterizing the basic analytics of the problem, the grain supply chain participants are represented as autonomous economic agents with a certain level of programmed behavioral heterogeneity. The agents interact via a set of heuristics governing their actions and decisions. The operation of a major portion of the Canadian grain handling system is simulated in this manner, moving from the individual farm up through to the country elevator level. My simulation results suggest testing strategies to alleviate misrepresentation (moral hazard) in this supply chain are more efficient for society when they are flexible and can be easily adjusted to react to situational change within the supply chain. While the idea of using software agents for modeling and understanding the dynamics of the supply chain under consideration is somewhat novel, I consider this exercise a first step to a broader modeling representation of modern agricultural supply chains. The agent-based simulation methodology developed in my dissertation can be extended to other economic systems or chains in order to examine risk management and control costs. These include food safety and quality assurance network systems as well as natural-resource management systems. Furthermore, to my knowledge there are no existing studies that develop and compare both analytic and agent-based simulation approaches for this type of complex economic situation. In the dissertation, I conduct explicit comparisons between the analytic and agent-based simulation solutions where applicable. While the two approaches generated somewhat different solutions, in many respects they led to similar overall conclusions regarding this particular agricultural policy issue.

Yes / This paper aims to establish a link between aggregate organizational resilience capabilities and managerial risk perception aspects during a major global crisis. We argue that a multi-theory perspective, dynamic capability at an organizational level and enactment theory at a managerial level allow us to better understand how the sensemaking process within managerial risk perception assists organizational resilience. We draw from in-depth interviews with 40 managers across the UK’s food industry, which has been able to display resilience during the pandemic. In sensing supply chain risks (SCRs), managers within both authority-based and consensus-based organizational structures utilize risk-capture heuristics and enact actions related to effective communications, albeit at different information costs. In seizing, we found that managers adhere to distinct heuristics that are idiosyncratic to their organizational structures. Through limited horizontal communication channels, authority-based structures adhere to rudimentary how-to heuristics, whereas consensus-based structures use obtainable how-to heuristics. We contribute to the organizational resilience and dynamic capabilities literature by identifying assessment as an additional step prior to transforming, which depicts a retention process to inform future judgements. Our study presents a novel framework of organizational resilience to SCRs during equivocal environments, by providing a nuanced understanding of the construction of dynamic capabilities through sensemaking.

D. Tech (Department of Human Resource Management, Faculty of Management Sciences), Vaal University of Technology. / The expectation by South Africans is that the public sector must contribute positively to the economy. However, the general perception is that the public sector is failing to fulfil its mandate due to systemic problems in the entire public sector. Its supply chain in South Africa is both volatile and imperfect. This is demonstrated by the level of service delivery protests, which emanate from the feeling that the public is not receiving the quantity or quality service that they need. This study aimed to assess the relationship between supply chain risks, supply chain flexibility and supply chain performance in the South African public sector. A conceptual framework was developed, which included six supply chain risk factors, namely, government policies, supply complexity, availability of skills, supplier performance monitoring, information security and process efficiency, which feed into supply chain flexibility, which in turn leads to supply chain performance. Seven hypotheses underlying these relationships were put forward for testing. A quantitative approach using the cross-sectional survey design was adopted in which a questionnaire was distributed to 306 conveniently selected supply chain professionals who were based in Gauteng province. Items used in the survey questionnaire were adapted from previously validated scales. A confirmatory factor analysis was conducted to test the psychometric properties of the measurement instrument. Descriptive statistics were used to analyse the perceptions of respondents towards the factors under consideration in the study. Hypotheses were tested using the structural equation modelling approach. The results of the study show that the threat from supply chain risks in the South African public sector remains high, and that flexibility and performance of the supply chain remains unsatisfactory. Hypotheses tests showed that all six supply chain risks significantly predicted supply chain performance. While the other supply chain risks were positively related to supply chain flexibility, the relationship between the flexibility and supply complexity was negative. Amongst the supply chain risks considered in this study, availability of skills emerged as the strongest predictor of supply chain flexibility. The study further showed that supply chain flexibility significantly and positively predicts supply chain performance. Theoretically, the study provides a specific conceptualization of the relationship between supply chain risks, supply chain flexibility and supply chain performance within the South African public sector, where no such study has been conducted before. Practically, it provides information to supply chain professionals in the South African public sector regarding the improvement of supply chain performance. The study underscores that the performance public supply chain in South Africa can be improved by managing the six risks considered in this study, and their contribution to supply chain flexibility.

Made available in DSpace on 2015-05-08T14:53:23Z (GMT). No. of bitstreams: 1 Arquivototal.pdf: 4055508 bytes, checksum: afaf8e4c2f12a41412f0cb00808b273b (MD5) Previous issue date: 2012-01-27 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The objective of this study was to contribute to the field of Supply Chain Management with an emphasis on identifying, prioritizing and measuring risk proposing a risk rating based on the SCOR model and investigating which of them involve two members of a supply chain of this sector. For the construction of the classification was carried out a theoretical classifications as reported in the literature and, using the basic processes advocated by the SCOR model as a foundation, a structured classification was proposed starting from the previously identified. Following a qualitative approach the study used direct observation, documents provided by the companies, unstructured interviews, and especially forms as research tools to determine what risks concern the studied chain members. Through the construction of risk matrices, analysis of variables and situations present in separate forms in a way, it was found that in one of the members of the most significant risks were operational, strategic and supplies, and another member of the risks of supply, financial and demand reached the highest levels of importance. Thus, the study shows the effect of risk on the chain as a whole to find the risks of supply and demand in the members that match the customer and supplier, respectively. In addition, the study sought to highlight the impact of identified risks linking them to the organizations costs and the result showed that the risks interfere mainly in management costs. From this result, one proposed a combination of risks to costs for a general situation. It s recommended to replicate the study in others chains, to continue within organizations that have been studied (with regard to monitor risks) and the expansion of such research to other supply chain members. / O objetivo deste trabalho foi contribuir com a área de Gestão da Cadeia de Suprimentos com ênfase na identificação, priorização e mensuração do risco propondo uma classificação de riscos baseada no modelo SCOR e investigando quais deles acometem dois membros de uma cadeia de suprimentos do setor sucroalcooleiro. Para a construção da classificação foi realizado um levantamento teórico das classificações já divulgadas na literatura e, usando os processos básicos defendidos pelo modelo SCOR como alicerce, uma classificação estruturada foi proposta partindo-se das anteriormente identificadas. Seguindo uma abordagem qualitativa, o estudo utilizou observações diretas, documentos fornecidos pelas empresas, entrevistas não estruturadas e, principalmente, formulários como instrumentos de pesquisa para averiguar quais riscos incidem. Através da construção de matrizes de risco, análises das variáveis e das situações presentes nos formulários de maneira separada, obteve-se que em um dos membros os riscos mais significativos foram operacional, estratégico e suprimentos, e no outro membro os riscos de suprimentos, financeiro e de demanda alcançaram os mais altos níveis de importância. Sendo assim, o estudo evidencia o efeito dos riscos sobre a cadeia como um todo ao encontrar os riscos de suprimentos e demanda nos membros que correspondem ao cliente e fornecedor, respectivamente. Além disso, o estudo buscou destacar os impactos dos riscos identificados associando-os aos custos das organizações e o resultado apontou que os riscos interferem, essencialmente, em custos gerenciais. Deste resultado, foi proposta uma associação dos riscos aos custos para uma situação geral. Recomenda-se a replicação do estudo em outras cadeias, a continuação do mesmo dentro das organizações já estudadas (no que tange ao monitoramento dos riscos) e a expansão deste tipo de investigação nos demais elos da cadeia.

Submitted in fulfilment of the requirements for the Degree of Doctor of Technology: Public Management, Durban University of Technology, 2017. / Disasters are on the increase globally with devastating effects. The devastation caused by these disasters in various countries highlights the need for increased commitment and investment, by government and various stakeholders, in disaster risk reduction. This study investigated disaster risk reduction strategies in Zimbabwe’s dairy supply chains. The study was initiated on the premise that Zimbabwe is at high risk and vulnerable to natural and man-made hazards. The study is set in the backdrop of declining output across all agricultural sectors evident particularly in the dairy farming sector that has seen inadequate supply of raw milk and dairy products by local producers in Zimbabwe. This study therefore sought to assess the collaborative strategies by government, dairy organisations and dairy supply chain stakeholders to reduce disaster risks in the dairy industry. The study employed a mixed-method approach (qualitative and quantitative) to investigate collaborative disaster risk reduction strategies used by dairy supply chain stakeholders to avoid supply chain disruptions. The study used a sample size of 92 dairy farmers, from major milk producing regions of Zimbabwe, for the questionnaire. The Cronbach alpha test for reliability showed a reliable questionnaire. Furthermore, the study used information from key informants, 30 retailers and 20 dairy officers for one-on-one interviews. Quantitative data was analysed using STATA (version 13). OLS regression analysis was done and results were compared with those of the Tobit models as a test for robustness of the results. Qualitative data was analysed using thematic analysis derived from observations and interviews and descriptive statistics presented in tables and bar charts. Notable in the literature reviewed is lack of coordination amongst stakeholders in strategies to reduce disaster risks in dairy supply chains in Zimbabwe. This study adopted a collaborative proactive framework and tested it as a strategy to reduce disaster risks in dairy supply chains. The study gives four major findings. Firstly, dairy supply chains in Zimbabwe were exposed to a number of risks which are: international competition, competition from local giants, financial risks, political risks, technological risks, environmental risks and production risks. Secondly, findings from regression analysis indicated that an overall index of disaster risks significantly influenced job losses, food security, milk productivity and growth of ventures in dairy businesses. Thirdly, there were isolated cases of planned coordination by stakeholders in the industry to reduce the negative effects of disasters across the supply chain. There was collaboration among dairy farmers, processors, NGOs, and government departments of agriculture and environment. Fourthly, an index of collaborative strategies regressed against dependent variables of variables of supply chain cost, lead time milk sales, and variety and quality of milk demonstrated that collaborative strategies in dairy supply chain significantly influenced supply chain costs and variety and quality of milk and milk products. It is expected that the study will assist government in the formulation of public policies for the dairy sector leading to improved access to high quality raw milk and milk products for consumers thus resulting in improved nutrition and food security for the people of Zimbabwe. Policy recommendations highlight that instead of the current maximum of the 5 year lease given to white commercial farmers, the government should consider issuing out long term leases in order to protect long-term investment in dairy projects. Government should, therefore, create an enabling environment for stakeholder partnerships in the dairy sector. / D

Master’s thesis focuses on the topic "Evaluation of Key Risks of Supply Chains". The thesis links the field of supply chain management with the field of risk management. In the first part of the thesis, the basic concepts of these fields are defined, which are then linked and narrowed down to the specialization of supply chain risk management. Subsequently, the problems of inadequate supply chain structure, configuration and resilience are formulated and argued. Macroeconomic MRA is applied against these problems and its applicability and usefulness in a supply chain environment is tested. Subsequently, its ability to predict future developments is also tested to provide a basis for building long-term sustainable chains that are able to cope with the pitfalls and uncertainties in the current highly dynamic environment.

The South African wine industry is a significant contributor to the South African economy. However the wine producers are facing financial and operational challenges as they operate and compete in a highly traded local and international wine market. These financial and operational challenges manifest as risks in their supply chain and could affect the future sustainability of their business. It against this backdrop that this study aimed to identify the supply chain risks experienced by the Stellenbosch wine producers, and how they manage and overcome these risks. The research was conducted at five wine producers located in each of five Stellenbosch wine producing areas. The producers were selected through a non-probability purposive sample with the assistance of a gatekeeper. The study is descriptive and exploratory with qualitative data collected through semi-structured interviews with ten participants from the five wine producers. The data was analysed using thematic analysis. The study found that the main risk factors centered around: the planning activities concerning the risks involved in matching demand and supply; agricultural activities including the drought and other external hazard risks; the wine making activities including in-process controls; financial risks including margin erosion due to inflationary costs not being matched by selling price increases; and human resource risks. This study recommends that wine producers use a formal risk appraisal process, implement a supplier development process, could make use of precision viticulture methods and improved pest control measures. / Business Management / M. Com. (Business Management)