This study investigates the impact of environmental uncertainty and organizational ambidexterity on supply chain integration and its relationship between supply chain agility and organizational flexibility in the manufacturing firms.,The data were collected from 526 managers in services and manufacturing industry in Kuala Lumpur. The partial least square (SmartPLS 3.0) tool was applied through the use of the structural equation modeling (SEM) technique.,The results revealed that a strong relationship exist between environmental uncertainty and supply chain integrations including customer, supplier and internal integration. Organizational ambidexterity has a significant relationship with supply chain integration. Supply chain integrations were shown to have a positive impact on the firm's supply chain agility and organizational flexibility.,The findings may assist to establish a set of key drivers for enhancing supply chain agility and organizational flexibility as a supply chain management initiative in the manufacturing and service industry.

Supply chain integration and its impact on supply chain agility and organizational flexibility in manufacturing firms

The disruption of the international supply chain: Firm resilience and knowledge preparedness to tackle the COVID-19 outbreak

Designing and managing the supply chain: consepts, strategies and case

In this research, a supply chain network has been designed for inventory management using not only the project site storage facility but also an ancillary warehouse to keep materials. In order to make decision about the appropriate place for building the warehouse, multi-criteria decision-making techniques have been applied. Since the transportation sector, as the most important energy-consuming part, plays a significant role in global warming after power stations and the delivery of materials will have environmental impacts, this research tried to minimize the external cost of global warming caused by transportation. In this study, a mathematical formulation is presented to solve the problem of ordering the required amount to project site, while taking into account an ancillary warehouse. To quell the discussion, a numerical example has been demonstrated. The findings show that uncertainty considerations fortify the strict decision making and can increase the confidence level.

Deepesh Singh

Papers

Inventory Management in Supply Chain