chain flexibility
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2022 ◽  
Vol 10 (1) ◽  
pp. 155-160 ◽  
Author(s):  
Itang, H.S. Sufyati ◽  
Asep Dadan Suganda ◽  
Shafenti Shafenti ◽  
Mochammad Fahlevi

The purpose of this research is to better understand the impact of supply chain management (SCM) and flexibility on firm performance, as well as the role of competitive advantage in mediating the model in Indonesian agriculture companies. Companies must apply supply chain management and supply chain flexibility (SCF) to boost industrial competitiveness, which impacts firm performance. To ensure that supply chain management supports the company's strategy, companies must evaluate supply chain concerns. From the literature search, researchers have not found any published studies or articles on SCM and SCF in their influence on firm performance through competitive advantage, specifically for corn companies in Indonesia. The population in this study includes agriculture companies in Indonesia. Sampling was carried out using probability sampling technique, the total population of 200 obtained a sample size of 133.333 which can be rounded up to 134 research samples. The inferential statistical method used in the data analysis of this study was the Partial Least Square Version 3 program. The study found that SCM influenced firm performance and SCF had a direct influence on firm performance. However, competitive advantage variable failed in being a mediator in SCM and SCF on firm performance.


2021 ◽  
Vol 2 (3) ◽  
pp. 316-323

Összefoglaló. Jelen tanulmányban a termelési folyamatokat, valamint statisztikai adatokat elemezve azt vizsgáljuk, hogy a pandémia során milyen hatások érték az inputokat, magát a termelést, az outputokat, illetve hogyan változtak meg olyan versenyprioritási tényezők, mint az idő, a minőség vagy a rugalmasság. Mivel a rövidebb, a kevésbé komplex és rugalmasabb értékláncok válságállóbbnak tűnnek, ez felgyorsíthatja az ellátási láncok regionalizációját, amit tovább fokoz, hogy a termelőszektor gyors visszarendeződésével szemben a szolgáltató ágazatoknak elhúzódó kilábalással kell szembenézniük. Ezért azt is megvizsgáltuk, hogy az egyes országok ellenálló képessége függ-e a termelő szektor méretétől. Eredményeink alapján, ahol nagyobb az ipar aránya, ott gyorsabban képes a gazdaság talpra állni, ami újabb lökést adhat a fejlett államok iparfejlesztési törekvéseinek. Summary. The coronavirus epidemic posed challenges to all. However, with proper discipline, increased efficiency and adaptability, companies and economies can emerge stronger from this situation. In this study, we examine vulnerability of industries along three dimensions according to the general model of production complemented by aggregate statistics from Eurostat. In terms of procurement, shorter value chains seem more resilient than complex and long supply chains. Supplier risks may be also mitigated by increasing the number of suppliers of critical inputs. The costs and risks of transporting goods are also increasing. 90% of industrial products are involved in international trade, mostly transported through maritime shipping that faces significant increase in tariffs, and the difficulty of replacing crews could lead to further disruptions to the operation of maritime routes. Thus, it is not surprising that the pandemic has increased the issue of supply chain flexibility and simplification, and has drawn attention to the importance of inventories and input replacement. Companies may consider to diversify production sites or even reshore or nearshore their production. The rate of recovery varies in each sector: in services requiring a personal presence, such as tourism, the sudden economic downturn is followed by a slow growth, contrary to the rapid rebound of industrial production. Therefore, countries with significant manufacturing will witness V-shaped recovery, while higher reliance on services is characterized by slower and longer L-shaped scenario. Thus, the pandemic also pointed out that industrial production is key in a national economy: besides that industrial innovations increase productivity (and living standards) and manufacturing functions also have a significant multiplier effect on the service sector, manufacturing also has significant resistance against a pandemic. This could give a further push to the ongoing industrial development programs of developed economies such as Germany, the United States, or the European Union. At the same time, services that are able to move online show no decline, while service requiring a personal presence may struggle in the long run. Overall, structural changes are inevitable and companies have to adapt to the novel consuming and working preferences.


Author(s):  
Mohsen Ghasemi ◽  
Ronald Larson

We review theories of polyelectrolyte (PE) coacervation, which is the spontaneous association of oppositely charged units of PEs and phase separation into a polymer-dense phase in aqueous solution. The simplest theories can be divided into “physics-based” and “chemistry-based” approaches. In the former, polyelectrolytes are treated as charged, long-chain, molecules, defined by charge level, chain length, and chain flexibility, but otherwise lacking chemical identity, with electrostatic interactions driving coacervation. The “chemistry-based” approaches focus on the local interactions between the species for which chemical identity is critical, and describe coacervation as the result of competitive local binding interactions of monomers and salts. In this article, we show how these approaches complement each other by presenting recent approaches that take both physical and chemical effects into account. Finally, we suggest future directions towards producing theories that are made quantitatively predictive by accounting for both long range electrostatic and local chemically specific interactions.


2021 ◽  
Author(s):  
Bo Chu ◽  
Haoke Zhang ◽  
Lanfang Hu ◽  
Bin Liu ◽  
Chengjian Zhang ◽  
...  

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurodhsingh Khanuja ◽  
Rajesh Kumar Jain

PurposeSupply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.Design/methodology/approachThe structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.FindingsFindings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.Research limitations/implicationsThe study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.Originality/valueBuilding on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Morgane Boone ◽  
Pathmanaban Ramasamy ◽  
Jasper Zuallaert ◽  
Robbin Bouwmeester ◽  
Berre Van Moer ◽  
...  

AbstractWhile transcriptome- and proteome-wide technologies to assess processes in protein biogenesis are now widely available, we still lack global approaches to assay post-ribosomal biogenesis events, in particular those occurring in the eukaryotic secretory system. We here develop a method, SECRiFY, to simultaneously assess the secretability of >105 protein fragments by two yeast species, S. cerevisiae and P. pastoris, using custom fragment libraries, surface display and a sequencing-based readout. Screening human proteome fragments with a median size of 50–100 amino acids, we generate datasets that enable datamining into protein features underlying secretability, revealing a striking role for intrinsic disorder and chain flexibility. The SECRiFY methodology generates sufficient amounts of annotated data for advanced machine learning methods to deduce secretability patterns. The finding that secretability is indeed a learnable feature of protein sequences provides a solid base for application-focused studies.


2021 ◽  
Vol 7 (6) ◽  
pp. 5641-5655
Author(s):  
Ji Feng ◽  
Cheng Guiqing ◽  
Jia Xuedi ◽  
Luo Qubo ◽  
Wu Fan

Based on 234 survey data of 35 pilot demonstration enterprises in intelligent manufacturing, this paper tested the mediating role of supply chain flexibility in the process of big data capability affecting enterprise performance. The empirical results show that the foundation capability, application capability, and development capability all have a significant positive impact on enterprises performance. Big data foundation capability has a significant positive effect on the supply chain flexibility in terms of product flexibility, logistics flexibility and production flexibility, and it has no significant effect on purchasing flexibility and information flexibility. Both big data application capability and big data development capability have a positive effect on supply chain flexibility. In addition to purchasing flexibility, the other dimensions of supply chain flexibility and supply chain flexibility comprehensive factors all have a mediating effect on the relationship between big data capabilities and firm performance. The conclusions of this study have a positive enlightenment role for enterprises to develop big data capabilities and create a flexible supply chain to meet the needs of the market and customers.


Author(s):  
Seyed Ali Hasheminejad ◽  
Khadijeh Valipour ◽  
Hamid Khoshnood

Abstract Supply chain management intends to integrate supply chains' activities such as material flow, information flow and financial issues. Material flow management is the most significant issue since the inventory level in the whole supply chain could be optimized by an integrated plan. In other words, when one member of the supply chain plans to reduce its inventory level solely, despite reducing inventory in this node the inventory will be stocked in other partners' warehouses. Therefore, in this paper a new mathematical model has been developed to facilitate the process of finding the optimum solution in economic production, purchase and delivery lots and their schedules in a three-echelon supply chain environment; including raw material in suppliers, manufacturer and assembly facility as a customer. The manufacturer with a flow shop system provides its requirements from supplier, assemble multiple products, and delivers products to the customer (automotive OEM alike) on an optimum multiple delivery points. The delivery cycles would be identified through the production common cycle regarding the supply chain flexibility. Finally, a modified real-valued Genetic Algorithm (MRGA), and an Optimal Enumeration Method (OEM) are developed, and some numerical experiments have been done and compared as well.


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