scholarly journals Managing Environmental and Operational Risks for Sustainable Cotton Production Logistics: System Dynamics Modelling for a Textile Company

Logistics ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 34
Author(s):  
M. Ali Ülkü ◽  
Melek Akgün ◽  
Uday Venkatadri ◽  
Claver Diallo ◽  
Simranjeet S. Chadha
Keyword(s):  
System Dynamics ◽  
Unit Cost ◽  
Plant Diseases ◽  
Response Strategy ◽  
Sustainable Supply Chain ◽  
Cotton Production ◽  
Production Logistics ◽  
Risk Response ◽  
Operational Risks ◽  
Scenario Analyses

Effective management of cotton production logistics (CPL) against volatile environmental conditions while maintaining product quality and yield at acceptable costs has become challenging due to increasing global population and consumption and climate change. In CPL, the harvesting, processing, and storage of cotton are all linked, prone to various environmental risks (e.g., flooding) and operational risks (e.g., excess spraying of pesticides). Thus, it is crucial for a resilient and sustainable supply chain management to prioritize risks and chart suitable risk response strategies. For a CPL, we employ a system dynamics (SD) approach to investigate the likelihoods of environmental and operational risks and their impacts in four dimensions: variable costs, fixed costs, quality performance, and yield. Using the case of a textile company in Turkey, we demonstrate an end-to-end framework for mitigating CPL risks. SD simulation results show that increases in seed prices and machine and equipment breakdowns are the risks that most affect the unit cost, whereas pests and plant diseases most hurt cotton harvest yield. Via scenario analyses, we demonstrate that a proper risk response strategy, compared to doing nothing, may reduce variance in cotton quality by about 35% at the expense of about an 11% increase in unit cost variability.

scholarly journals Risk analysis and strategic planning on bridge construction works at the toll road procurement projects in Central Java Province

2018 ◽  
Vol 49 ◽  
pp. 02020
Author(s):  
Hery Suliantoro ◽  
Nurul Fitriani ◽  
Bagus Hario Setiadji
Keyword(s):  
Avoidance Response ◽  
Construction Projects ◽  
Construction Project ◽  
Weather Forecast ◽  
Development Project ◽  
Response Strategy ◽  
Bridge Construction ◽  
Risk Response ◽  
Toll Road ◽  
The Impact

Risk is a condition caused by uncertainty. Risks will occur on any construction project, including bridge construction projects. Efforts that can be taken to minimize the impact of these risks are to engage in risk management activities. This research was conducted on bridge construction work on toll road procurement project in Pejagan-Pemalang, Pemalang-Batang and Salatiga-Kertasura. The purpose of this research is to analyze the risk of bridge development project in toll road project using Risk Breakdown Structure (RBS) method and then the result as database in discussing risk response strategy. The bridge construction project has 36 risks that are divided into six groups: materials and equipment, design, human resources, finance, management, nature and environmental conditions. Bad weather risks are the higest risk and seasonal risk causing temporary work stoppages. This risk-response strategy is avoidance. Short-term avoidance response strategy is to add shift workers, install tents and add additives in the acceleration of the process of maturation of concrete. The long-term avoidance response strategy is to evaluate and rearrange the work schedule by considering the weather forecast report.

scholarly journals An Integrated MCDM Approach to Train Derailment Risk Response Strategy Selection

Symmetry ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 47 ◽  
Author(s):  
Huafeng Zhang ◽  
Quanxin Sun
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Low Frequency ◽  
Response Strategy ◽  
Expert Advice ◽  
Rolling Stock ◽  
Economic Losses ◽  
Train Derailment ◽  
Risk Response ◽  
Risk Management Process

Train derailment can mainly cause not only economic losses in the shape of mangled rolling stock or infrastructure, but also more severely in causalities and disruptions of operations, yielding great impact on the sustainable development of railway industry. Considering various complex and symmetrical operational environments, as well as the characteristics of low frequency and high consequences of derailment accidents, risk response is undoubtedly underlined as one of the most critical components of risk management process. However, in practice, risk response does not receive enough attention in comparison with risk assessment that it lacks mature models and tools for selecting optimal strategy. This study constructs an integrated Multi Criteria Decision-Making (MCDM) model for the selection of optimum train derailment risk response strategy for the first time. In the model, decision making trial and evaluation laboratory (DEMATEL) technology is connected with analytical network process (ANP) to obtain evaluation criteria and their relative weights, and both of the two methods can deal with the complex coupling relationship between the indicators in the system. Then, technique for order performance by similarity to ideal solution (TOPSIS) is proposed to screen the optimum plan in the proposed model. Further, the Delphi method is used through the whole process to acquire expert advice. In the end, this model is used to select shunting derailment risk response strategies in Huangyangcheng station, and the final results demonstrate that this technology is simple and practical, and can provide a credible and practical tool for railway safety managers and engineers to choose the best risk response strategy.

System dynamics analysis for an Internet-of-Things-enabled production logistics system

2016 ◽  
Vol 55 (9) ◽  
pp. 2622-2649 ◽  
Author(s):  
Ting Qu ◽  
Matthias Thürer ◽  
Junhao Wang ◽  
Zongzhong Wang ◽  
Huan Fu ◽  
...  
Keyword(s):  
Internet Of Things ◽  
System Dynamics ◽  
Dynamics Analysis ◽  
Logistics System ◽  
Production Logistics

Private partner's risk response in PPP low-cost housing projects

2014 ◽  
Vol 32 (1) ◽  
pp. 67-94 ◽  
Author(s):  
Surangkana Trangkanont ◽  
Chotchai Charoenngam
Keyword(s):  
Life Cycle ◽  
Risk Mitigation ◽  
Low Cost ◽  
Response Strategy ◽  
Private Firms ◽  
Content Type ◽  
Risk Response ◽  
Project Life Cycle ◽  
Low Cost Housing ◽  
Project Life

Purpose – The purpose of this paper is to identify the salient risks borne by private firms and to investigate their effective risk response strategies in public-private partnership (PPP) low-cost housing (LCH) projects in Thailand. Design/methodology/approach – The paper employs grounded theory and case study methodologies to extensively analyze ten private firms’ risks and their strategic risk mitigation. As a result, the matrix of imperative risks’ root causes and the area of the project life cycle most exposed to their impacts were proposed. This included the framework of the risk response strategy application. Findings – The private firm's risk mitigation strategies depended on the salient risks’ impact and the private firms’ predictability and controllability of the risk outcome. This included the private firm's participating objectives and core business, decision maker's risk attitude, risk perception, experience of risk, and risk assessment skill, and the project life cycle phase of risk occurrence. Practical implications – Under the same characteristics of the immature PPP market in developing countries, the contractors’ effective risk management framework can be used as a guideline to complement the contractors’ decision making on risk response strategy selection and resource allocation in the PPP project life cycle. Originality/value – Despite working under the familiar environment of construction risk and generous payment method in PPP-LCH projects, only few contractors were successful. The examination of risks borne and effectively responded by the private sector increases the likelihood of the project success.

scholarly journals COMPREHENSIVE RISK MANAGEMENT USING FUZZY FMEA AND MCDA TECHNIQUES IN HIGHWAY CONSTRUCTION PROJECTS

2016 ◽  
Vol 23 (2) ◽  
pp. 300-310 ◽  
Author(s):  
Mohsen AHMADI ◽  
Kourosh BEHZADIAN ◽  
Abdollah ARDESHIR ◽  
Zoran KAPELAN
Keyword(s):  
Construction Projects ◽  
Fuzzy Ahp ◽  
Highway Construction ◽  
Response Strategy ◽  
Construction Technology ◽  
Risk Response ◽  
Best Response ◽  
Fuzzy Fmea ◽  
Target Values ◽  
Risk Event

This paper presents a comprehensive framework to manage the main risk events of highway construction pro­jects within three stages: (1) identification of potential risks; (2) assessment and prioritisation of identified risks based on fuzzy FMEA; (3) identification of appropriate response. The main criteria analysed for prioritising potential risk events are cost, time and quality which are quantified and combined using fuzzy AHP. A new expert system is suggested for identifying an appropriate risk response strategy for a risk event based on risk factor, control number and risk alloca­tion. The best response action for a risk event is then identified with respect to the same criteria using “scope expected deviation” (SED) index. The proposed methodology is demonstrated for management of risk events in a construction project of Bijar-Zanjan highway in Iran. For the risk event of “increase in tar price”, deviation from the target values of the criteria is analysed for business-as-usual state plus two risk response actions using SED index. The results show that the response action of “changing paving construction technology from asphalt pavement to RCC pavement” can success­fully cope with the risk event of “increase in tar price” and have the minimum deviation.

Training decision-makers in flood response with system dynamics

2016 ◽  
Vol 25 (2) ◽  
pp. 118-136 ◽  
Author(s):  
Romana Berariu ◽  
Christian Fikar ◽  
Manfred Gronalt ◽  
Patrick Hirsch
Keyword(s):  
System Dynamics ◽  
Training Model ◽  
Decision Makers ◽  
Generation Process ◽  
Flood Events ◽  
Content Type ◽  
Scenario Analyses ◽  
Flood Response ◽  
Complex Settings ◽  
Sd Model

Purpose – The purpose of this paper is to present a training model for decision makers that covers the complexity which is inherent in decision-making processes in times of floods. Design/methodology/approach – Through literature review, case study analysis and iterative interviews with decision-makers, the model was established. It enables one to simulate different scenarios depending on selected influencing factors and was implemented with Stella 9.1. Findings – Flood events are highly complex and their development process is significantly influenced by various conditions. The findings show that the most important factor is the water level which determines the time available to respond. The presented System Dynamics (SD) model has the capability to capture such complex settings. Through what-if analysis and the comparison of different scenarios, learning effects are achieved by using the model. Research limitations/implications – The level of abstraction is high. Not all influencing variables can be incorporated due to the variety of flood events. Based on experts’ recommendations, the most relevant factors were included as areas of focus in the model. Practical implications – The generated model is presented to facilitate holistic comprehension of the modelling process. It offers the possibility to start learning processes through scenario analyses in order to strengthen decision-makers’ understanding of complexity. Originality/value – To the best of our knowledge, there are no comparable studies that focus on the generation process of building an SD-model for educational purposes in flood response.

scholarly journals Risk Response Selection in Construction Projects

2018 ◽  
Vol 3 (12) ◽  
pp. 1208 ◽  
Author(s):  
Hafeth I. Naji ◽  
Rouwaida Hussein Ali
Keyword(s):  
Risk Management ◽  
Optimal Strategy ◽  
Construction Projects ◽  
Response Selection ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Response Strategy ◽  
Risk Response ◽  
Gravitational Search ◽  
The Cost

Risk and its management  is  important  for the success of the project, the  risk management, which encompassed of planning, identification, analysis, and response has an important phase, which is risk response  and it should not be undermined, as its  success going to  the projects  the capability  to overcome the  uncertainty and  thus an effective  tool in project risk management, risk response used the collective information in the analysis stage and in order  to take decision how to improve the possibility to complete the project within time, cost and performance. This stage work on preparing the response to the main risks and appoint the people who are responsible for each response.  When it's needed risk response may be started in quantitative analysis stage and the repetition may be possible between the analysis and risk response stage. The aim of this research is to provide a methodology to make the plane for unexpected events and control uncertain situations and identify the reason for risk response failure and to respond to risk successfully by using the optimization method to select the best strategy. The methodology of this research divided into four parts, the first part main object is to find the projects whose risk response is failed, the second part includes the reasons for risk response Failure, the third part includes   finding   the most important risks generated from risk response that leads to increasing the cost of construction projects, the fourth part of the management system is selecting the optimal risk response strategy. An optimization model was used to select the optimal strategy to treat the risk by using Serval constraints such as the cost of the project, time of the project, Gravitational Search Algorithm and particle swarm used. The result of the risk response selection shows that The investment (contractor, bank) strategy shows a very good strategy as it saves the cost about 30%, while the Mitigate (pay for advances with interest 0. 1) Strategy show saving the cost 40%   and giving land to contractors show saving the cost 40% finally the BIM strategy show saving the cost 25%. The risk response is an important part and should give a great attention and it must be used sophisticated method to select the optimal strategy, the two techniques both show high efficiency in selecting the strategy but Gravitational Search Algorithm show better performance.

Strategic Barriers and Operational Risks in Sustainable Supply Chain Management in the Indian Context

2019 ◽  
pp. 238-259
Author(s):  
R. Sridharan ◽  
E. N. Anilkumar ◽  
C. R. Vishnu
Keyword(s):  
Risk Factors ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Sustainable Supply Chain ◽  
Sustainable Practices ◽  
Chain Management ◽  
Sustainable Supply Chain Management ◽  
Sustainable Supply Chains ◽  
Operational Risks ◽  
Indian Manufacturing Sector

Research on sustainable supply chain management (SSCM) has attracted increased attention in the recent years all over the world. Unlike an ordinary supply chain, sustainable supply chains confront two major hurdles in the planning as well as in the operational stage, namely barriers and risks. Barriers are usually associated with technical, economic, and marketing infeasibilities, whereas risks induce disruptions and uncertainties. These factors demotivate the organizations from adopting sustainable practices in supply chain operations. The chapter consolidates the significant barriers and risk factors influential in the current Indian business environment. The analysis is based on the expert survey conducted in the South Indian manufacturing sector. Furthermore, the above barriers are ranked utilizing the grey relational analysis method in an intuitionistic fuzzy setting. Finally, the effects of the risk factors induced by sustainable practices are also discussed to facilitate selection of proactive strategies for the success of sustainable business in India.

Sign in / Sign up

Export Citation Format

Share Document