scholarly journals Applied real-valued genetic algorithm for an extended model of economic lot, purchase and delivery scheduling problem

2021 ◽  
Author(s):  
Seyed Ali Hasheminejad ◽  
Khadijeh Valipour ◽  
Hamid Khoshnood
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Material Flow ◽  
Flow Shop ◽  
Raw Material ◽  
Inventory Level ◽  
Extended Model ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
Delivery Scheduling

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.

scholarly journals Supply chain management, supply chain flexibility and firm performance: an empirical investigation of agriculture companies in Indonesia

2022 ◽  
Vol 10 (1) ◽  
pp. 155-160 ◽  
Author(s):  
Itang, H.S. Sufyati ◽  
Asep Dadan Suganda ◽  
Shafenti Shafenti ◽  
Mochammad Fahlevi
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Firm Performance ◽  
Competitive Advantage ◽  
Partial Least Square ◽  
Least Square ◽  
Chain Flexibility ◽  
Chain Management ◽  
Supply Chain Flexibility ◽  
The Impact

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.

The Impact of Big Data Capability on Enterprise Performance—theMediating Effect of Supply Chain Flexibility

2021 ◽  
Vol 7 (6) ◽  
pp. 5641-5655
Author(s):  
Ji Feng ◽  
Cheng Guiqing ◽  
Jia Xuedi ◽  
Luo Qubo ◽  
Wu Fan
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Positive Impact ◽  
Mediating Effect ◽  
Enterprise Performance ◽  
Chain Flexibility ◽  
Supply Chain Flexibility ◽  
The Impact ◽  
Positive Effect ◽  
Development Capability

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.

The role of capabilities in shaping sustainable supply chain flexibility and enhancing circular economy-target performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Surajit Bag ◽  
Muhammad Sabbir Rahman
Keyword(s):  
Supply Chain ◽  
Circular Economy ◽  
Data Analytics ◽  
Sustainable Supply Chain ◽  
Chain Flexibility ◽  
Content Type ◽  
Mediating Role ◽  
Supply Chain Flexibility ◽  
Target Performance ◽  
Analytics Capability

Purpose A circular economy is a popular approach considered by many firms to address sustainable development goals strategically. Literature indicates that collaborative relationships among supply chain partners facilitate circular economy practices. However, there is a dearth of studies in lower-middle-income countries indicating the unique challenges industries face whilst practising circular economy principles and how the challenges can be overcome. To address the calls of previous researchers, this study aims to explore the following relationships: engagement and alliance capability whilst data analytics capability plays a mediating role; the relationship between alliance and data analytics capability with sustainable supply chain flexibility whilst industry dynamism is considered as a moderating variable and the relationship between sustainable supply chain flexibility and circular economy-target performance. Design/methodology/approach A cross-sectional survey was performed and data was collected from 760 employees of Indian firms. Covariance-based structural equation modelling was applied to perform the path analysis to determine a firm’s capabilities in shaping sustainable supply chain flexibility and enhancing circular economy target performance. Findings Drawing upon dynamic capability theory, it was first established that engagement capability has a positive and significant influence on alliance capability, whilst data analytics capability played a partial mediating role. Second, it was established that alliance capability and data analytics capability significantly affect sustainable supply chain flexibility, whilst industry dynamism played a moderating role. Finally, it was clear that sustainable supply chain flexibility had a significant and positive effect on circular economy target performance, ultimately enhancing sustainability. Originality/value This study advances the circular economy literature by recommending that firms must consider some critical operational level capabilities to develop their dynamic capability, i.e. sustainable supply chain flexibility, to better meet the competitive market conditions in turbulent business environments.

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