Problem definition: Blockchain is a form of distributed ledger technology. While it has grown in prominence, its full potential and possible downsides are not fully understood yet, especially with respect to operations management (OM). Academic/practical relevance: This article fills this gap. Methodology: After briefly reviewing the technical foundations, we explore multiple business and policy aspects. Results: We identify five key strengths, the corresponding five main weaknesses, and three research themes of applying blockchain technology to OM. The key strengths are (1) visibility, (2) aggregation, (3) validation, (4) automation, and (5) resiliency. The corresponding weaknesses are (1) lack of privacy, (2) lack of standardization, (3) garbage in, garbage out, (4) black box effect, and (5) inefficiency. The three research themes are (1) information, (2) automation, and (3) tokenization. Managerial implications: We illustrate these research themes with multiple promising research problems, ranging from classical inventory management, to new areas of ethical OM, and to questions of industrial organization.
Recent cases of product adulteration by foreign suppliers have compelled many manufacturers to re-think approaches to deterring suppliers from cutting corners, especially when manufacturers cannot fully monitor and control the suppliers' actions. Recognizing that process certification programs, such as ISO9000, do not guarantee unadulterated products and that product liability and product warranty with foreign suppliers are rarely enforceable, manufacturers turn to mechanisms that make payments to the suppliers contingent on no defects discovery. In this paper we study: (a) the deferred payment mechanism -the buyer pays the supplier after the deferred payment period only if no adulteration has been discovered by the customers; (b) the inspection mechanism -the buyer pays the supplier is immediately, contingent on product passing the inspection; and (c) the combined mechanism -a combination of the deferred payment and inspection mechanisms. We find the optimal contracts for each mechanism, and describe the Nash equilibria of inspection sub-games for the inspection and the combined mechanisms. The inspection mechanism cannot completely deter the suppliers from product adulteration, while the deferred payment mechanism can. Surprisingly, the combined mechanism is redundant: either the inspection or the deferred payment mechanisms perform just as well. Finally, the four factors that determine the dominance of deferred payment mechanism over the inspection mechanism are: (a) the inspection cost relative to inspection accuracy, (b) the buyer's liability for adulterated products, (c) the difference in financing rates for the buyer and the supplier relative to the defects discovery rate by customers, and (d) the difference in production costs for adulterated and unadulterated product.
We study a manufacturer that faces a supplier privileged with private information about supply disruptions. We investigate how risk-management strategies of the manufacturer change, and examine whether risk-management tools are more, or less, valuable, in the presence of such asymmetric information. We model a supply chain with one manufacturer and one supplier, in which the supplier's reliability is either high or low and is the supplier's private information. Upon disruption the supplier chooses between paying a penalty to the manufacturer for the shortfall and using backup production to fill the manufacturer's order. Using mechanism design theory, we derive the optimal contract menu offered by the manufacturer. We find that information asymmetry may cause the less reliable supplier type to stop using backup production while the more reliable supplier type continues to use it. Additionally, the manufacturer may stop ordering from the less reliable supplier type altogether. The value of supplier backup production for the manufacturer is not necessarily larger under symmetric information and, for the more reliable supplier type, it could be negative. The manufacturer is willing to pay the most for information when supplier backup production is moderately expensive. The value of information may increase as supplier types become uniformly more reliable. Thus, higher reliability need not be a substitute for better information.
We study the effects of disruption risk in a supply chain where one retailer deals with competing risky suppliers who may default during their production lead times. The suppliers, who compete for business with the retailer by setting wholesale prices, are leaders in a Stackelberg game with the retailer. The retailer, facing uncertain future demand, chooses order quantities while weighing the benefits of procuring from the cheapest supplier against the advantages of order diversification. For the model with two suppliers, we show that low supplier default correlations dampen competition among the suppliers, increasing the equilibrium wholesale prices. Therefore the retailer prefers suppliers with highly correlated default events, despite the loss of diversification benefits. In contrast, the suppliers and the channel prefer defaults that are negatively correlated. However, as the number of suppliers increases, our model predicts that the retailer may be able to take advantage of both competition and diversification.resilient supply chains, supply risk, supply disruptions, competition, procurement, default correlation, equilibrium pricing
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