Book highlight-The self-aware factory floor: AI in production, supply chain, and distribution

2018 ◽  
Vol 38 (1) ◽  
pp. 53-60
Author(s):  
Paul R. Daugherty ◽  
H. James Wilson
Keyword(s):  
The Self ◽  
Author(s):  
Yue Wen ◽  
Yongbo Wang ◽  
MingJun Shi

Self-logistics-type e-platforms have enjoyed a rapid growth. In sales, some of them only serve as a service provider, matching buyers with sellers. But some of them have become a seller, selling directly to the customer. In logistics, some of them do not open the self-logistics to the third-party sellers, but some of them do open. As a result, a new form of channel conflict emerged. Therefore, the authors consider a self-logistics-type e-platform, who can sell directly to consumers; and a single retailer, who sells through the e-platform without self-logistics, but who may choose to contract with e-platform to deliver its products through the self-logistics. Thus, key questions for the e-platform are whether to sell directly to the customer; if they sell, the decision is whether to deliver the products through self-logistics and whether to open the self-logistics. To solve these questions, the optimal decisions of the retailer and self-logistics-type e-platforms and the system equilibrium results are analyzed under different situations. Finally, the logic tree to get the overall equilibrium is obtained.


2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Liang Geng ◽  
Renbin Xiao ◽  
Xing Xu

Building resilient supply chain is an effective way to deal with uncertain risks. First, by analyzing the self-organization of supply chain, the supply chain resilience is described as a macroscopic property that generates from self-organizing behavior of each enterprise on the microlevel. Second, a MAS-based supply chain resilience model is established and its local fitness function, neighborhood structure, and interaction rules that are applicable to supply chain system are designed through viewing the enterprise as an agent. Finally, with the help of a case, we find that there is an agglomeration effect and a SOC characteristic in supply chain and the evolution of supply chain is controlled by parameters of MAS. Managers can control the supply chain within the resilient range and choose a good balance between interest and risk by controlling enterprises’ behavior.


2017 ◽  
Vol 21 (2) ◽  
pp. 114-131 ◽  
Author(s):  
Stephanie Brooks ◽  
Adam Leaver ◽  
Michelle Spence ◽  
Christopher T Elliott ◽  
Moira Dean

The academic discussion of power in supply chains has changed from a discussion of the use of coercive power to one which emphasizes the role of trust in embedding co-operation and disincentivizing opportunism. Whilst a number of empirical studies have suggested the former is alive and well, this paper argues that power relations may also be constituted by the self-perceptions of weaker actors as much as by the explicit actions of more powerful ones. This study explores the role of power through the perceptions of subjugated actors, which set the ‘rules of the game’. Our case centres on perceptions of Northern Irish beef farmers and their reflections on their ‘powerlessness’ in relation to the larger, more consolidated processors that they sell to. We find that the way farmers make sense of the power relations they encounter is influenced by the individuating character of the power relations exercised by the processors, which debilitates their ability to collaborate and resist collectively. What emerges is a story about the process of accommodation whereby farmers pragmatically resign themselves to play by ‘the rules of the game’ to remain ‘part of the game’.


2021 ◽  
Vol 4 (2) ◽  
pp. 310-320
Author(s):  
Adut Jervase Manyuat ◽  
Kashi Carasso ◽  
Mulatedzi Makhado

BackgroundIn order to deliver quality health services, safe, effective, affordable and quality medicines are needed. Inappropriate storage conditions, poor infrastructure and poor medicine management practices may lead to poor medicines quality, stock damage and expiration.ObjectiveAssess storage and inventory practices to improve the medicine supply chain in South Sudan.MethodologyThe study used a descriptive cross-sectional design. The study population comprised 12 Health Centers in Juba where inventory management was practiced. Both questionnaire‐guided interviews for staff self‐assessment, and observer assessment were used by the researcher. With regard to storage and inventory management, the researcher collected data on the condition of storerooms with regards to availability of enough storage space, availability of enough storage equipment, and temperature conditions of the medicines stores, among others.ResultsThe study found that store and inventory management practices varied widely in the different health facilities. Hospitals and central medical stores exhibited good or average inventory and storeroom management practices, respectively. The two hospitals and medical stores scored 100% in the elements in the assessment of storerooms and stock management. Some primary health care centers exhibited good inventory and store room management practice, whilst others were rated as average or poor. Most of the elements assessed scored 37% in storeroom assessment while elements assessed for inventory management scored less than 75%. There was great similarity between the observation assessment and the self-assessment.ConclusionIn conclusion, store and inventory management practices and knowledge of the respondents varied in the different health facilities. Hospitals and central medical stores exhibited good, average and poor inventory and storeroom management practices assessed through self-assessment and observation assessment by the researcher. There was a great similarity between the observation assessment and the self-assessment. Rwanda J Med Health Sci 2021;4(2): 310-320


2019 ◽  
Vol 24 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Agustina Calatayud ◽  
John Mangan ◽  
Martin Christopher

Purpose An emerging theme in the practitioner literature suggests that the supply chain of the future – enabled especially by developments in ICT – will be autonomous and have predictive capabilities, bringing significant efficiency gains in an increasingly complex and uncertain environment. This paper aims to both bridge the gap between the practitioner and academic literature on these topics and contribute to both practice and theory by seeking to understand how such developments will help to address key supply chain challenges and opportunities. Design/methodology/approach A multi-disciplinary, systematic literature review was conducted on relevant concepts and capabilities. A total of 126 articles were reviewed covering the time period 1950-2018. Findings The results show that both IoT and AI are the technologies most frequently associated with the anticipated autonomous and predictive capabilities of future supply chains. In addition, the review highlights a lacuna in how such technologies and capabilities help address key supply chain challenges and opportunities. A new supply chain model is, thus, proposed, one with autonomous and predictive capabilities: the self-thinking supply chain. Originality/value It is our hope that this novel concept, presented here for the first time in the academic literature, will help both practitioners to craft appropriate future-proofed supply chain strategies and provide the research community with a model (built upon multidisciplinary insights) for elucidating the application of new digital technologies in the supply chain of the future. The self-thinking supply chain has the potential in particular to help address some of today’s key supply chain challenges and opportunities.


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