Predictive and Adaptive Management Approach for Omnichannel Retailing Supply Chains

Advancements in Sustainable Manufacturing Supply Chain Modelling: a Review

“…Aghaie and Heidary ( 2018 ) applied reinforcement learning, an ML training method, in optimizing the simulation procedure for finding the best risk-sensitive retailer based on a profit function. Pereira et al ( 2018 ) developed a predictive and adaptive manufacturing supply chain management approach for omnichannel retailing supply chains which combines ML for minimising uncertainty and ABS for handling synchronisation of supply and demand in the supply chain. Zhou et al ( 2015 ) combined ABS with Q-learning for evaluating trade-offs between satisfying demand service levels and cost goals for manufacturing supply chains with multiple products.…”

A Systematic Investigation of the Integration of Machine Learning into Supply Chain Risk Management

“…Pereira et al [67] present a conceptual method for a predictive and adaptive omnichannel supply chain management for the retail industry. ML and simulation-based optimization are applied to minimize uncertainty and incompatibility between supply and demand.…”

“…These latter publications are therefore not listed in Table 1. [18] Conceptual work production supplier risks direct Benjaoran and Dawood [61] Case Study production production risks indirect Blackburn et al [62] Conceptual work & use case production production risks indirect Bouzembrak and Marvin [63] Conceptual work transport food quality/transport risks indirect Brintrup et al [57] Case study transport supplier risks direct Cavalcante et al [58] Conceptual work transport supplier risks direct Constante-Nicolalde et al [64] Conceptual work supply chain quality risks indirect Fu and Chien [65] Conceptual work production supply risks indirect Hassan [19] Conceptual work supply chain supply risks direct Lau et al [66] Conceptual work procurement information risks indirect Layouni et al [20] Survey production transport risks indirect Pereira et al [67] Conceptual work supply chain sales risks indirect Rodriguez-Aguilar et al [22] Conceptual work supply chain supply risks direct Wichmann et al [59] Conceptual work supply chain supplier risks direct Yong et al [23] Conceptual work supply chain supply risks direct…”

“…The results of the systematic literature analysis clearly show that only a few examples of ML in SCRM have been described in any meaningful detail within the scientific literature to date [18,57,61,62,65]. The existing few examples focus on supply chain areas of production [18,20,61,62,65], transport [56][57][58]63], and the entire supply chain [19,22,23,59,64,67]. This is not surprising for production divisions, where automation and built-in sensor technology for data acquisition has already been implemented for years and is, therefore, more mature than other areas of the supply chain.…”

“…Logistics 2021, 5, x FOR PEER REVIEW 7 of 16 [19,22,23,59,64,67]. This is not surprising for production divisions, where automation and built-in sensor technology for data acquisition has already been implemented for years and is, therefore, more mature than other areas of the supply chain.…”