Qualitative Modeling Of Offshore Outsourcing Risks In Supply Chain Management And Logistics
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Author | : Rajiv Kumar Sharma |
Publisher | : CRC Press |
Total Pages | : 221 |
Release | : 2024-03-22 |
Genre | : Technology & Engineering |
ISBN | : 1003859178 |
What are the biggest challenges facing those managing supply chains? Qualitative Modeling of Offshore Outsourcing Risks in Supply Chain Management and Logistics is intended to benefit the stakeholders in client organizations by raising their understanding and awareness about the most dominant risks. This will equip supply chain managers to give more emphasis to mitigating these risks. It further showcases the development and validation of a conceptual framework that depicts the relationship among key offshore outsourcing risks. The text explores modelling various risks which disrupt the automotive supply chain and cybersecurity breaches in digital supply chains. This book: Covers structural modelling of key offshore outsourcing risks for understanding their driving and dependence power Presents a conceptual framework and hierarchical structural model for perfect order fulfilment in both upstream and downstream supply chains Explores the challenges in handling operational risks associated with poor delivery performance or service quality Models dimensions which affect vendor selection in offshore outsourcing environment Investigates cultural influences on the management of geographically distributed operations in offshore outsourcing Addresses the workforce-related offshore outsourcing risk such as loss of key professionals Discusses the risk associated with selection of location, viz. distribution centres/warehouses in supply chain and logistics Models dimensions related to cybersecurity breaches in digital supply chains because of IT offshoring It is aimed at senior undergraduate and graduate students, and academic researchers in the fields of manufacturing engineering, industrial engineering, mechanical engineering, supply chain management and production engineering.
Author | : Rajiv K. Sharma |
Publisher | : |
Total Pages | : 0 |
Release | : 2024 |
Genre | : Business & Economics |
ISBN | : 9781032707884 |
This book will benefit the stakeholders in client organizations by raising understanding and awareness about the most dominant offshore outsourcing risks, so they may give more emphasis to mitigating those risks. It further showcases the development and validation of a conceptual framework that depicts the relationship among key offshore outsourcing risks. The text explores modelling various risks which disrupt the automotive supply chain and cyber security breaches in digital supply chains. This book: Covers a chapter discussing structural modelling of key offshore outsourcing risks for understanding their driving and dependence power. Presents conceptual framework and hierarchical structural model for perfect order fulfilment in both upstream and downstream supply chains. Explores the challenges in handling operational risks associated with poor delivery performance or service quality. Models dimensions which effect vendor selection in offshore outsourcing environment Investigates cultural influence on the management of geographically distributed operations in offshore outsourcing. Addresses the workforce-related offshore outsourcing risk such as loss of key professionals. Discusses the risk associated with selection of location viz. distribution centres / warehouses in supply chain and logistics. Models dimensions related to cyber security breaches in digital supply chains because of IT offshoring. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields such as manufacturing engineering, industrial engineering, mechanical engineering, supply chain management, and production engineering.
Author | : M. Szymczak |
Publisher | : Springer |
Total Pages | : 395 |
Release | : 2015-12-30 |
Genre | : Business & Economics |
ISBN | : 1137359668 |
This text takes a view of the crucial issues involved in supply chain management. The discussion introduces the concept of risk, information and social capital management that will ensure supply chain excellence and maturity according to the Poirier's model.
Author | : Management Association, Information Resources |
Publisher | : IGI Global |
Total Pages | : 1880 |
Release | : 2012-12-31 |
Genre | : Business & Economics |
ISBN | : 1466626755 |
In order to keep up with the constant changes in technology, business have adopted supply chain management to improve competitive strategies on a strategic and operational level. Supply Chain Management: Concepts, Methodologies, Tools, and Applications is a reference collection which highlights the major concepts and issues in the application and advancement of supply chain management. Including research from leading scholars, this resource will be useful for academics, students, and practitioners interested in the continuous study of supply chain management and its influences.
Author | : A. Ravi Ravindran |
Publisher | : CRC Press |
Total Pages | : 643 |
Release | : 2023-08-30 |
Genre | : Technology & Engineering |
ISBN | : 1000923991 |
Stresses quantitative models and methods used in supply chain management Highlights global supplier selection and vendor management techniques Discusses the use of multiple criteria decision-making models used in supply chain management Provides a new chapter on health and humanitarian supply chains, including disaster management and logistics modeling Offers exercises at the end of every chapter and a solutions manual and PowerPoint slides for qualified textbook adoptions
Author | : Biswajit Sarkar |
Publisher | : MDPI |
Total Pages | : 618 |
Release | : 2020-04-23 |
Genre | : Technology & Engineering |
ISBN | : 303928522X |
The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.
Author | : Minis, Ioannis |
Publisher | : IGI Global |
Total Pages | : 338 |
Release | : 2010-12-31 |
Genre | : Business & Economics |
ISBN | : 1615206345 |
Computational Intelligence (CI) is a term corresponding to a new generation of algorithmic methodologies in artificial intelligence, which combines elements of learning, adaptation, evolution and approximate (fuzzy) reasoning to create programs that can be considered intelligent. Supply Chain Optimization, Design, and Management: Advances and Intelligent Methods presents computational intelligence methods for addressing supply chain issues. Emphasis is given to techniques that provide effective solutions to complex supply chain problems and exhibit superior performance to other methods of operations research.
Author | : Ragip Ufuk Bilsel |
Publisher | : |
Total Pages | : 215 |
Release | : 2009 |
Genre | : |
ISBN | : |
More companies choose outsourcing to gain cost advantages, focus on their core competencies and maintain competitive edge. Although outsourcing provides many benefits, it also makes the buyer more dependent to the outside firms and increases his exposure to supply chain risks. This dissertation provides quantitative techniques to measure those risks and mathematical models to incorporate risks in supply chain decision making. Outsourcing risks are grouped under two main categories: operational risks which represent risks due to day to day global supply chain operations and disruption risks which are related to rare, but catastrophic events that may disrupt supply chains and cause heavier damage than the operational risks. In this dissertation, we first present a general risk quantification scheme and a classification based on four major risk components: severity of impact, frequency of occurrence, detection time and recovery time, and implement this scheme to quantify disruption risks. Severity of impact is modeled using the Generalized Extreme Value Distribution which is appropriate for modeling minima and maxima of rare events. Frequency of occurrence is modeled as a Poisson process. A Markov chain is used to model information propagation in supply chains and detection time is modeled using the mean first passage time concept. Risk recovery time is assumed to be exponentially distributed and a conceptual model to compute the parameter of the exponential distribution is also developed. Another important issue in risk management is mitigation plans. Once a supplier faces a disruption, the buyer should have an alternative strategy to follow. In this dissertation, we propose two multiobjective mathematical models to optimally generate supplier assignment and mitigation plans under two different purchasing strategies. The first strategy, called single sourcing, assumes that the buyer assigns an order for a product to one and only one supplier; that is, order splitting among suppliers is not allowed. The second strategy, called multiple sourcing, is a generalization of the single sourcing model where the buyer can split an order among a predetermined number of suppliers. Both models consider four objectives: minimizing total cost, lead time and risk value, and maximizing quality of purchased items. The multiobjective models are solved using four variants of goal programming and their solutions are discussed. Operational risks are more common in supply chains and can be modeled using traditional probability distributions. In this dissertation, we extend the multiobjective mathematical models developed earlier to stochastic programming models. Uncertainty in customer demand and production capacity are assumed to cause operational risk. Initially, demand and capacity parameters are modeled as normal random variables and chance constraints are formed to include those stochastic data in the mathematical models. Deterministic equivalents of those chance constraints are derived to numerically solve the models. When no correlation among random variables is assumed, the deterministic equivalent models are linear mixed integer programs which can be solved efficiently using commercial optimization software. If correlation is included, deterministic equivalent models become nonlinear mixed integer programs which are computationally more challenging. Alternative linearization procedures are proposed to transform the deterministic equivalents of the nonlinear models to linear mixed integer programs. This results in an increase in the problem size. Deterministic equivalent models are also solved using goal programming techniques. It is observed that the optimal solutions to the deterministic models are infeasible to the stochastic models. This indicates that previous supply chain decisions are no longer valid when uncertainty is considered in decision making. We also present a robust model where the normality assumption on demand and capacity random variables is removed. This robust model is valuable when the decision makers have information only on the mean and the variance of demand and capacity. The robust model is more conservative and provides poorer results compared to the stochastic models under normality.
Author | : Ponis, Stavros |
Publisher | : IGI Global |
Total Pages | : 408 |
Release | : 2010-03-31 |
Genre | : Computers |
ISBN | : 1615206086 |
"This book deals with risk management in enterprise network formations, stressing the importance of risk management in enterprises organized in networks followed by the presentation of the researcher suggested approaches which most of the time emphasizes in a supply chain"--Provided by publisher.
Author | : Michael Freitag |
Publisher | : Springer Nature |
Total Pages | : 575 |
Release | : 2020-04-15 |
Genre | : Technology & Engineering |
ISBN | : 3030447839 |
Since 2007, the biennial International Conferences on Dynamics in Logistics (LDIC) offers researchers and practitioners from logistics, operations research, production, industrial and electrical engineering as well as from computer science an opportunity to meet and to discuss the latest developments in this particular research domain. From February 12th to 14th 2020 for the seventh time, LDIC 2020 is held in Bremen, Germany. Similar to its six predecessors, the Bremen Research Cluster for Dynamics in Logistics (LogDynamics) organizes this conference. The spectrum of topics reaches from the dynamic modeling, planning and control of processes over supply chain management and maritime logistics to innovative technologies and robotic applications for cyber-physical production and logistics systems. LDIC 2020 provides a forum for the discussion of advances in that matter. The conference program consists of three invited keynote speeches and 51 papers selected by a severe double-blind reviewing process. Within these proceedings all the papers are published. By this, the proceedings give an interdisciplinary outline on the state of the art of dynamics in logistics as well as identify challenges and solutions for logistics today and tomorrow.