Project description:Throughout the last decades, collaborative schemes, under an amalgam of different acronyms (ECR, CPFR, VMR, etc.), have been developed to mitigate the problematic Bullwhip effect. Essentially, companies work together by either sharing information, making joint decisions, or sharing benefits to reach potential synergies. This work aims at reviewing these works through a systematic literature review process to investigate the different collaborative models from an operational perspective. A total of 92 articles have been classified into 3 categories: Information Exchange; Vendor Managed Replenishment; and Synchronized Supply Chain. For each category, we have identified the type of research, supply chain structures, forecasting models, demand characteristics, replenishment policies and assumptions employed in the considered articles. This article identifies the main results achieved and the gaps and opportunities to be developed as further research.
Project description:The rise of retail groups has strengthened their voice in the supply chain, drawing more attention from supply chain members to the issue of profit fairness. To explore the influence of fairness concerns on operational decisions in closed-loop supply chains after the formation of retail groups. In this paper, we first construct a secondary dual-channel closed-loop supply chain led by a retail group and followed by a manufacturer. Next, the corresponding game models are constructed under three scenarios, namely, fairness neutrality (FN), fairness concerns of the retail groups (FR), and fairness concerns of the manufacturer (FM), respectively. Finally, the game models are solved and analyzed. It turns out that it is easier for the manufacturer to satisfy its demands for fairness by adjusting the wholesale price. Furthermore, we find that fairness concerns do not enhance the recycling rate of used products and the greenness of remanufacturing. For retail groups, fairness concerns can hurt their profits, but appropriate fairness concerns can contribute to profitable growth in their retail business. Interestingly, the manufacturer's fairness concerns do not affect the total profitability of the supply chain system, but the retail group's fairness concerns do. This paper identifies dual changes in the scope of operations and power structure of retail groups in closed-loop supply chains, as well as analyzes the fairness concerns raised by these changes, which will lead to new recommendations for operational decision-making in firms.
Project description:In response to the COVID-19 pandemic, vaccine manufacturers quickly pivoted to develop vaccines, offering limited visibility into production timelines and quantities. Low- and middle-income countries developed vaccine introduction plans within the context of constrained global supply, unknown vaccine availability or timelines, and unknown demand. The Vaccine Collaborative Supply Planning (VCSP) Initiative was established to address the gaps in visibility of supply and demand of COVID-19 vaccines for improved supply planning. The Initiative drew from experiences with supply planning for other health program products. The Initiative's 2 goals for introducing COVID-19 vaccines were to: (1) incorporate the use of supply chain data for forecasting, supply planning, and resupply decisions; and (2) establish a collaborative model for governments and partners to learn and implement. Beginning in September 2021, the Initiative was operational in 15 countries through strategic partnerships with government immunization programs and 7 partnering organizations. Partners noted the Initiative offered several benefits: enabled visibility into stock status; provided ability to triangulate service delivery and stock data; provided insight into products at risk of expiry; facilitated tracking of monthly consumption patterns to inform decisions; offered ability to create forecasting scenarios; provided support to national logistics working groups; improved coordination at the country level; created trust through transparency across global partners; and offered opportunity for real-time adjustments through adaptive learning. Partners also noted challenges, including the influence of political decisions and the availability of quality data. The Initiative successfully applied best practices for supply planning, established a collaborative model with government decision-makers and partners, and used an adaptive learning approach to respond to the challenges of rolling out the COVID-19 vaccine. Lessons learned and recommendations suggest how this approach can be used to strengthen forecasting and supply planning for all vaccines as the COVID-19 vaccine is integrated into routine services.
Project description:BackgroundReducing food loss and waste (FLW) may narrow gaps between fruit and vegetable production and recommended intake. However, FLW estimates are inconsistent due to varying estimation methods.ObjectivesUsing multiple estimation approaches, we examined the extent and determinants of FLW along tomato supply chains in South India, from farm to retail. We also explored tomato quality assessments.MethodsWe surveyed 75 farm households and 83 tomato traders in the Chittoor district, Andhra Pradesh, and 52 vegetable traders and 50 vegetable retailers in Hyderabad, Telangana, on harvest and market days. We calculated declared FLW values using participant-reported losses to estimate the preharvest quality FLW and quantitative FLW values at the farmer, vegetable-trader, and vegetable-retailer stages. We calculated the destination FLW based on counted crates diverted to loss destinations, using participant-reported destinations (animal feed, field discard), to estimate the postharvest FLW from farm to retail. We used pile sorting with farmers to explore on-farm quality assessments.ResultsThe average preharvest quality FLW was 13.9% of harvested tomatoes. From farm to retail, the quantitative FLW was greatest at the postharvest, farm level. Among all harvests, the median postharvest, farm-level FLW was 0.0% (IQR, 0.0%-7.9%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 2.3% (IQR, 0.0%-12.5%) using the declared FLW approach (P < 0.05). Among harvests with a non-zero postharvest, farm-level FLW, the median FLW was 9.1% (IQR, 2.4%-16.7%) using the destination FLW approach (tomatoes diverted to nonfood uses) and 10.0% (IQR, 2.9%-16.7%) using the declared FLW approach. Harvesting during peak season was a determinant of postharvest, farm-level and preauction, market-level FLW values. Farmers prioritize color/ripeness attributes while harvesting and tomato size while grading.ConclusionsSingle-point estimates may obscure FLW patterns for perishable, indeterminate crops and depend on data collection and estimation methods. Reducing FLW of perishables requires the integration of quantitative and qualitative FLW estimation methods.
Project description:Recent outbreak of COVID-19 pandemic has provided strong impetus to supply chain resilience research. In a volatile and uncertain business environment, resilience can be incorporated by developing and implementing effective risk mitigation strategies. In this research, risk mitigation strategies for environmentally sustainable clothing supply chain have been prioritised by considering their efficacy to mitigate various risks. Twelve risks and thirteen mitigation strategies, identified through literature review and experts' opinion, are considered as decision criteria and alternatives respectively. Fuzzy Technique for Order Preference by Similarity to Ideal Solutions (fuzzy TOPSIS) is implemented under a group decision making scenario for prioritising the strategies. Developing supply chain agility; multiple green sourcing and flexible capacities; adoption of green practices; building trust, coordination and collaboration; and alignment of economic incentives and revenue sharing are found to be dominant risk mitigation strategies for environmentally sustainable clothing supply chain. These strategies have been viewed through the lens of resource dependence, change management and transaction cost theories. Organisation desirous to build resilience in their supply chain can prioritise the risk mitigation strategies and adopt a portfolio of strategies based on the outcome of this research.
Project description:Entities in public sector supply chains (SCs) often operate independently despite having interdependent objectives. Such a fragmented operational design poses several problems magnified by the presence of necessary public health measures fueled by COVID-19. This work contributes to the domain literature by introducing an overarching framework for synthesizing strategies in public sector SCs. The underlying component is the translation of information from the upstream to the downstream entities of the SCs, which is carried out by a Kano-enhanced quality function deployment. The proposed framework introduces intuitionistic fuzzy (IF) decision maps with the aid of the full consistency method to incorporate inherent interrelationships among strategies in the translation agenda. Under an IF environment that better captures judgment uncertainties, an actual case study of a multi-level public sector SC motivated by a government-funded project under the COVID-19 pandemic is demonstrated in this work. Findings of the case suggest that the government prioritizes meeting all project objectives. This requirement is reflected in the downstream SC. The project planning entity focuses on creating an overarching plan of operations, material request entity on complying with government procurement protocols, and maintaining public health and safety in operations for the procurement entity. Results show the effective synthesis of strategies across the SC, ensuring SC integration and collaboration. The case study demonstrates that maintaining public health and safety is a significant component of post-COVID-19 public sector SCs. Several practical insights on the synthesis of public sector SC strategies are also provided in this work.
Project description:We study the role of global supply chains in the impact of the Covid-19 pandemic on GDP growth using a multi-sector quantitative framework implemented on 64 countries. We discipline the labor supply shock across sectors and countries using the fraction of work in the sector that can be done from home, interacted with the stringency with which countries imposed lockdown measures. One quarter of the total model-implied real GDP decline is due to transmission through global supply chains. However, "renationalization" of global supply chains does not in general make countries more resilient to pandemic-induced contractions in labor supply. This is because eliminating reliance on foreign inputs increases reliance on the domestic inputs, which are also disrupted due to nationwide lockdowns. In fact, trade can insulate a country imposing a stringent lockdown from the pandemic-shock, as its foreign inputs are less disrupted than its domestic ones. Finally, unilateral lifting of the lockdowns in the largest economies can contribute as much as 2.5% to GDP growth in some of their smaller trade partners.
Project description:The seafood supply chain is often long and fragmented, and slavery is a tenacious problem. The vast majority of workers are engaged in the early stages of production and often employed through subcontracts or brokers. We hypothesized that food companies could identify risks and implement improvements by adding a labor safety dimension to their tracking and traceability systems. We designed a five-point framework-the Labor Safe Screen-and tested it for 118 products. The framework combines the use of technology in existing platforms with the collection of industry data and authoritative human rights data. Eighteen food companies used three or more components of the framework and systematically documented their supply chains, engaged suppliers, and cross-checked results. The companies were able to identify areas where working conditions met minimum principles, were unknown, or were inadequate. Three companies also incorporated direct worker feedback to focus resources and improve working conditions. We conclude that food companies can effectively and efficiently assess and reduce risks of forced labor in seafood supply chains-not to claim "no slavery" but to greatly improve their awareness of the labor conditions in the making of the products they trade and to identify feasible targets for further diligence and remedies.
Project description:Resilience enables supply chains to reduce their proneness to disruptions and recover faster. Many existing strategies to strengthen the resilience of supply chains are facilitated by the use of digital technology. Blockchain, as one of the promising innovative technologies, enables a transparent, secure, and timely data exchange and automation via smart contracts. In this paper, we discuss the impact of blockchain technology on supply chain risk management and, in particular, on supply chain resilience. We identify potential risk-related blockchain application scenarios and examine their impact on the existing resilience strategies. We explore the impact of the most promising applications with respect to resilience by using an agent-based simulation model of a complex supply network affected by disruptions. The theoretical analysis reveals a promotion of supply chain resilience strategies, especially if smart contracts are used for risk-related collaboration. The simulation study indicates an increase in resilience if the underlying collaboration is based on time-efficient processes: The propagation of disruptions, the network recovery time, and total costs can be substantially reduced. However, depending on the duration of the disruption, negative effects can occur if process efficiency is insufficient. From our investigations, we derive insights for managers who are interested in practical implementation.