A systematic review in recycling/reusing/re-manufacturing supply chain research: a tertiary study

Author(s):  
Sudipta Sinha ◽  
Nikunja Mohan Modak
Insects ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 391
Author(s):  
Marco A. Ponce ◽  
Tania N. Kim ◽  
William R. Morrison III

Microbes are ubiquitous and play important ecological roles in a variety of habitats. While research has been largely focused on arthropods and microbes separately in the post-harvest supply chain, less attention has been paid to their interactions with each other. Up to this point, there has been no attempt to systematically describe the patterns of behavioral responses by stored-product insects to microbially produced volatile organic compounds (MVOCs). Thus, our aims were to evaluate whether stored-product arthropods were primarily and significantly attracted, repelled, or had a net neutral effect (e.g., unaffected or mixed) by MVOCs presented as (1) complex headspace blends or (2) single constituents and known mixtures. In total, we found 43 articles that contained 384 sets of tests with different combinations of methodology and/or qualitative findings, describing the behavioral responses of 24 stored-product arthropod species from two classes, four orders, and 14 families to 58 individual microbial compounds and the complex headspace blends from at least 78 microbial taxa. A total of five and four stored-product arthropod species were significantly attracted and repelled by MVOCs across odor sources, respectively, while 13 were unaffected or exhibited mixed effects. We summarize the biases in the literature, including that the majority of tests have occurred in the laboratory with a limited subset of methodology and has largely only assessed the preference of adult arthropods. Finally, we identify foundational hypotheses for the roles that MVOCs play for stored-product arthropods as well as gaps in research and future directions, while highlighting that the behavioral responses to MVOCs are complex, context-, and taxon-dependent, which warrants further investigation.


Author(s):  
Guo Lifang ◽  
Cui Yuwen ◽  
Wu Yamin ◽  
Ma Jiaqi

The innovation and development of manufacturing supply chain alliance is an important way for enterprises to meet the increasing market demand and maintain the competitive advantage. From the perspective of embeddedness, the research model of relation embeddedness on innovation performance of manufacturing supply chain was constructed based on AMOS. Shared mental model was selected as intermediary variable to study the influence of relation embeddedness, shared mental model and innovation performance of manufacturing supply chain alliances. Expert fuzzy rule based system is utilized for measuring the performance of manufacturing supply chain alliances. The conclusion shows that relation embeddedness is significantly positive shared mental model and innovation performance. Shared mental model is positively affects alliance innovation performance and plays a part of intermediary role between relational embedding and alliance innovation performance. Practice implicates that enhance the level of relation embeddedness can promote the formation of shared mental model and improve the innovation performance of manufacturing supply chain alliance.


Author(s):  
Marcelo Werneck Barbosa ◽  
Alberto de la Calle Vicente ◽  
Marcelo Bronzo Ladeira ◽  
Marcos Paulo Valadares de Oliveira

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Guorong Chen ◽  
Jiangyuan Zhao ◽  
Juli Deng

Service-oriented manufacturing is the new development of manufacturing systems, and manufacturing supply chain service is also an important part of the service-oriented manufacturing systems; hence, the optimal selection of parts suppliers becomes one of key problems in the supply chain system. Complex network theories made a rapid progress in recent years, but the classical models such as BA model and WS model can not resolve the widespread problems of manufacturing supply chain, such as the repeated attachment of edge and fixed number of vertices, but edges increased with preferential connectivity, and flexible edges’ probability. A core model is proposed to resolve the problem in the paper: it maps the parts supply relationship as a repeatable core; a vertex’s probability distribution function integrating the edge’s rate and vertex’s degree is put forward; some simulations, such as the growth of core, the degree distribution characteristics, and the impacting of parameter, are carried out in our experiments, and the case study is set also. The paper proposed a novel model to analyze the manufacturing supply chain system from the insights of complex network.


2018 ◽  
Vol 56 ◽  
pp. 05001
Author(s):  
Osaro Aigbogun ◽  
Zulkipli Ghazali ◽  
Radzuan Razali

Resilience is the vital feature of supply chains that confers the ability to withstand the adverse effects of disruptive events. Most of the previous studies have been conceptual, theoretical, normative, or at best qualitative in approach, concentrating on identifying the elements of resilience. In spite of the proliferation of studies, an empirically validated quantitative study on justifying the measurement dimensions of supply chain resilience is rare, thus the need for further quantitative empirical studies. The context of the present study is the manufacturing supply chain of halal pharmaceuticals in Malaysia. A quantitative cross-sectional design was applied by means of self-administered structured questionnaire survey, using the Supply Chain Resilience Assessment and Management instrument (SCRAM© 2.0). The survey yielded usable responses from 106 manufacturing companies engaged in the production of halal pharmaceuticals in Malaysia. Descriptive statistics as well as partial least square-based structural equation modelling was used to analyze the survey data. This was facilitated by IBM SPSS statistics software (version 21.0), and Smart PLS 3.2.4 respectively. The results suggest that the psychometric properties of the supply chain resilience dimensions (vulnerabilities and capabilities) in the context of the present study are reliable and valid.


Author(s):  
Nachiappan Subramanian ◽  
Atanu Chaudhuri ◽  
Yaşanur Kayıkcı

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