Supply chain management

About: Supply chain management is a research topic. Over the lifetime, 39055 publications have been published within this topic receiving 1082949 citations. The topic is also known as: SCM.

The impact of supply chain integration on company performance: an organizational capability perspective

Abstract: Purpose – This paper aims to simultaneously examine the impact of three types of supply chain integration (SCI) on three types of company performance from the perspective of organizational capability.Design/methodology/approach – Using data collected from 617 companies in China and the structural equation modelling method, the research investigates the relationships among internal integration, customer integration, supplier integration, supplier‐oriented performance, customer‐oriented performance, and financial performance from the perspective of organizational capability.Findings – The results show that internal integration improves external integration and that internal and external integration directly and indirectly enhance company performance. In addition, full or partial mediating effects among SCI and company performance are identified, and therefore explain the inconsistent findings in previous studies regarding the impacts of SCI on performance.Originality/value – This study contributes to SCI, o...

Management of social issues in supply chains: a literature review exploring social issues, actions and performance outcomes

Abstract: The social dimension of sustainable development and its impact on supply chains have so far received less attention than the environmental dimension. The aim of the research is to explore the intersection between social issues, corporate social responsibility (CSR) actions and performance outcomes. A structured literature review of social issues in supply chains is presented, analysing the research published so far in peer-reviewed publications. Linking CSR and supply chain management allows the exploration of strategies and performance outcomes with a focus on social issues. The corresponding responsible supply chain actions adopted by firms to address these issues are grouped into communication, compliance and supplier development strategies. Social and economic as well as buyer and supplier performance are identified as the key outcomes, but the interactions among these constructs would require further research. This paper contributes to the understanding of managing social issues in supply chains by linking social issues, responsible supply chain actions and performance outcomes. The paper consolidates related research by offering an overarching conceptual framework and points to future research directions and simultaneously provides insights into the management of social issues in supply chains.

Introduction to Logistics Systems Planning and Control

Abstract: Foreword.Preface.Abbreviations.Problems and Website.Acknowledgements.About the Authors.1 Introducing Logistics Systems.1.1 Introduction.1.2 How Logistics Systems Work.1.2.1 Order processing.1.2.2 Inventory management.1.2.3 Freight transportation.1.3 Logistics Managerial Issues.1.4 Emerging Trends in Logistics.1.5 Logistics Decisions.1.5.1 Decision support methods.1.5.2 Outline of the book.1.6 Questions and Problems.1.7 Annotated Bibliography.2 Forecasting Logistics Requirements.2.1 Introduction.2.2 Demand Forecasting Methods.2.2.1 Qualitative methods.2.2.2 Quantitative methods.2.2.3 Notation.2.3 Causal Methods.2.4 Time Series Extrapolation.2.4.1 Time series decomposition method.2.5 Further Time Series Extrapolation Methods: the Constant Trend Case.2.5.1 Elementary technique.2.5.2 Moving average method.2.5.3 Exponential smoothing method.2.5.4 Choice of the smoothing constant.2.5.5 The demand forecasts for the subsequent time periods.2.6 Further Time Series Extrapolation Methods: the Linear Trend Case.2.6.1 Elementary technique.2.6.2 Linear regression method.2.6.3 Double moving average method.2.6.4 The Holt method.2.7 Further Time Series Extrapolation Methods: the Seasonal Effect Case.2.7.1 Elementary technique.2.7.2 Revised exponential smoothing method.2.7.3 The Winters method.2.8 Advanced Forecasting Methods.2.9 Selection and Control of Forecasting Methods.2.9.1 Accuracy measures.2.9.2 Forecast control.2.10 Questions and Problems.2.11 Annotated Bibliography.3 Designing the Logistics Network.3.1 Introduction.3.2 Classification of Location Problems.3.3 Single-Echelon Single-Commodity Location Models.3.3.1 Linear transportation costs and facility fixed costs.3.3.2 Linear transportation costs and concave piecewise linear facility operating costs.3.4 Two-Echelon Multicommodity Location Models.3.5 Logistics Facility Location in the Public Sector.3.5.1 p-centre models.3.5.2 The location-covering model.3.6 Data Aggregation.3.7 Questions and Problems.3.8 Annotated Bibliography.4 Solving Inventory Management Problems.4.1 Introduction.4.2 Relevant Costs.4.3 Classification of Inventory Management Models.4.4 Single Stocking Point: Single-Commodity Inventory Models under Constant Demand Rate.4.4.1 Noninstantaneous resupply.4.4.2 Instantaneous resupply.4.4.3 Reorder point.4.5 Single Stocking Point: Single-Commodity Inventory Models under Deterministic Time-Varying Demand Rate.4.6 Models with Discounts.4.6.1 Quantity-discounts-on-all-units.4.6.2 Incremental quantity discounts.4.7 Single Stocking Point: Multicommodity Inventory Models.4.7.1 Models with capacity constraints.4.7.2 Models with joint costs.4.8 Stochastic Models.4.8.1 The Newsboy Problem.4.8.2 The (s, S) policy for single period problems.4.8.3 The reorder point policy.4.8.4 The periodic review policy.4.8.5 The (s, S) policy.4.8.6 The two-bin policy.4.9 Selecting an Inventory Policy.4.10 Multiple Stocking Point Models.4.11 Slow-Moving Item Models.4.12 Policy Robustness.4.13 Questions and Problems.4.14 Annotated Bibliography.5 Designing and Operating a Warehouse.5.1 Introduction.5.1.1 Internal warehouse structure and operations.5.1.2 Storage media.5.1.3 Storage/retrieval transport mechanisms and policies.5.1.4 Decisions support methodologies.5.2 Warehouse Design.5.2.1 Selecting the storage medium and the storage/retrieval transport mechanism.5.2.2 Sizing the receiving and shipment subsystems.5.2.3 Sizing the storage subsystems.5.3 Tactical Decisions.5.3.1 Product allocation.5.4 Operational Decisions.5.4.1 Batch formation.5.4.2 Order picker routing.5.4.3 Packing problems.5.5 Questions and Problems.5.6 Annotated Bibliography.6 Planning and Managing Long-Haul Freight Transportation.6.1 Introduction.6.2 Relevant Costs.6.3 Classification of Transportation Problems.6.4 Fleet Composition.6.5 Freight Traffic Assignment Problems.6.5.1 Minimum-cost flow formulation.6.5.2 Linear single-commodity minimum-cost flow problems.6.5.3 Linear multicommodity minimum-cost flow problems.6.6 Service Network Design Problems.6.6.1 Fixed-charge network design models.6.6.2 The linear fixed-charge network design model.6.7 Shipment Consolidation and Dispatching.6.8 Freight Terminal Design and Operations.6.8.1 Design issues.6.8.2 Tactical and operational issues.6.9 Vehicle Allocation Problems.6.10 The Dynamic Driver Assignment Problem.6.11 Questions and Problems.6.12 Annotated Bibliography.7 Planning and Managing Short-Haul Freight Transportation.7.1 Introduction.7.2 Vehicle Routing Problems.7.3 The Travelling Salesman Problem.7.3.1 The asymmetric travelling salesman problem.7.3.2 The symmetric travelling salesman problem.7.4 The Node Routing Problem with Capacity and Length Constraints.7.4.1 Constructive heuristics.7.5 The Node Routing and Scheduling Problem with TimeWindows.7.5.1 An insertion heuristic.7.5.2 A unified tabu search procedure for constrained node routing problems.7.6 Arc Routing Problems.7.6.1 The Chinese postman problem.7.6.2 The rural postman problem 2867.7 Real-Time Vehicle Routing and Dispatching.7.8 Integrated Location and Routing.7.9 Vendor-Managed Inventory Routing.7.10 Questions and Problems.7.11 Annotated Bibliography.8 Linking Theory to Practice.8.1 Introduction.8.2 Shipment Consolidation and Dispatching at ExxonMobil Chemical.8.3 Distribution Management at Pfizer.8.3.1 The Logistics System.8.3.2 The Italian ALFA10 distribution system.8.4 Freight Rail Transportation at Railion.8.5 Yard Management at the Gioia Tauro Marine Terminal.8.6 Municipal Solid Waste Collection and Disposal Management at the Regional Municipality of Hamilton-Wentworth.8.7 Demand Forecasting at Adriatica Accumulatori.8.8 Distribution Logistics Network Design at DowBrands.8.9 ContainerWarehouse Location at Hardcastle.8.10 Inventory Management atWolferine.8.11 Airplane Loading at FedEx.8.12 Container Loading atWaterworld.8.12.1 Packing rolls into containers.8.12.2 Packing pallets into containers.8.13 Air Network Design at Intexpress.8.14 Bulk-Cargo Ship Scheduling Problem at the US Navy.8.15 Meter Reader Routing and Scheduling at Socal.8.16 Annotated Bibliography.8.17 Further Case Studies.Index.

Effects of supply chain management practices, integration and competition capability on performance

Abstract: Purpose – The purpose of this research is to examine the causal linkages among supply chain management (SCM) practice, competition capability, the level of supply chain (SC) integration, and firm performance.Design/methodology/approach – This is helpful in developing a framework for linking a firm's SC integration strategy to its competitive strategy, and in identifying how such a linkage can be connected to the improvement of organizational performance. Such effort also should enable us to derive a set of recommended strategies of SCM practices for SC integration.Findings – From the results of LISREL analysis on small and large manufacturing firms, this paper finds that, in small firms, efficient SC integration may play a more critical role for sustainable performance improvement, while, in large firms, the close interrelationship between the level of SCM practices and competition capability may have more significant effect on performance improvement. It is concluded that, in early stage, the emphasis on...

Performance improvement through supply chain collaboration in Europe

Abstract: Purpose – The purpose of this paper is to empirically test the relationship between supply chain (SC) collaboration and performance improvement.Design/methodology/approach – In keeping with the extant literature, hypotheses were developed incorporating dimensions of supplier and customer collaboration and performance improvement. Factor analysis and linear statistical models for correlation and analysis of variance were used to test the hypotheses with IMSS 2001 data on 374 firms from the engineering/assembly industry across 11 European countries.Findings – Only weak empirical support was found for the hypothesized positive relationships between supplier (or customer) collaboration and performance improvement. There was partial empirical support for the impact of collaboration, both with suppliers and customers, on rates of improvement. For information exchange, performance improvement in respect of cost, flexibility, quality, and procurement was supported, whereas for structural collaboration, only impro...