Rosa Hendijani; Reza Saeidi Saei
Abstract
This study examined the impact of the interaction between demand uncertainty and supply chain integration on firm performance (operational and financial dimentions) using a survey method with questionnaire. Previous studies had not examined the interaction impact between integration and uncertainty on ...
Read More
This study examined the impact of the interaction between demand uncertainty and supply chain integration on firm performance (operational and financial dimentions) using a survey method with questionnaire. Previous studies had not examined the interaction impact between integration and uncertainty on supply chains performance as was done in this study. The research population consists of the firms that were in steel and auto parts industries. In total, 84 firms participated in the study. We used hierarchical regression model to test our hypotheses with industry type added as a control variable. Results show that integration in internal and process dimensions have positive impact on operational and financial performance. However, integration in product has negative impact on financial performance. When firms face with demand uncertainty, process integration will improve financial performance. Due to results, this study recommend companies to focus on internal and process integration as more effective types of integration, which improve financial and operational performance. In condition with demand uncertainty it is better for firms to prioritize process integration. Furthemore, type of industry dosnt have impact on study results.
Samira Parsaiyan; Maghsoud Amiri; Parham Azimi; Mohammad Taghi Taghavifard
Abstract
The increasing concern about the deteriorating effects of supply chains related activities on the environment has led to the growing attention to develop green closed-loop supply chains in order to minimize greenhouse gases emission. This paper presents a green closed-loop supply chain model developed ...
Read More
The increasing concern about the deteriorating effects of supply chains related activities on the environment has led to the growing attention to develop green closed-loop supply chains in order to minimize greenhouse gases emission. This paper presents a green closed-loop supply chain model developed under the demand uncertainty aiming at minimizing total cost and total CO2 emission across the supply chain, and maximizing the product’s market share in the presence of a competitor. In this regards, an agent-based market model is developed to estimate the demand’s parameter function then a hybrid simulation model which integrates agent-based and discrete event simulation modelling approaches is designed to simulate the closed-loop supply chain which is the novelty of this paper. Then, scenarios are created using Taguchi design of experiments (DOE) method, and are executed with the market model and the supply chain model to capture total cost, total CO2 and market share. A decision matrix is configured using scenarios and recorded results for three mentioned criteria and ELECTRE and SAW methods are used to rank scenarios and select the best one. The other contribution of this research is its comprehensiveness in considering variables related to three categories of inventory replenishment policy, marketing mix (price and advertisement) and transportation. An automotive industry case is provided to demonstrate the capabilities of the model and its applicability and effectiveness in resolving real-world problems.