Miguel Gastón Cedillo-Campos

Dynamic Self-Assessment of Supply Chains Performance: an Emerging Market Approach

Abstract A dynamic self-assessment of performance on supply chains operating in emerging markets is proposed. Based on well-established key performance indicators (KPI), this paper provides a decision support aid. Although it has been validated in the automotive industry, the standardized model’s approach makes it applicable to other industries. It is the result of a large literature review and identification of best practices from the automotive industry in which the lack of dynamic tools to evaluate logistics performance of suitable supply chains to the current competitive exchange rate was detected. Developed under a system dynamics approach (DS), the model analyzes different scenarios taking into account KPI and its dynamic relationships. The results obtained were validated through the statistical technique of design of experiments (DOE). This model also considers the specific features of the automotive operations in emerging countries as well as their importance in the future development of the manufacturing industry. In this context, the tool exposed is a key backup to decision making and to dynamically evaluate the variables with major influence on manufacturing supply chains. As a conclusion, findings are discussed and future researches are presented.

Supply chain dynamics and the “cross-border effect”: The U.S.–Mexican border’s case

Abstract A system dynamics model is proposed for analyzing the uncertainty caused by delays and disruptions at the U.S.–Mexican border, and how their effects propagate through the cross-border supply chains. Since Mexico’s geographic proximity and low wages provide logistics advantages to North American Free Trade Agreement (NAFTA), it is becoming a favored manufacturing and logistics location. Nonetheless, crossing the border between U.S. and Mexico remains one of the most important challenges to the NAFTA supply chain competitiveness. Based on literature review and real-life information, the security policies at the U.S.–Mexican border and their cost implications to cross-border supply chains are identified. Information regarding the impact of variability on supply chain dynamics due to “cross-border effect” derived of security inspection policies is provided. Results are based on an auto-industry case study that was chosen due to its process standardization; however, results could be applied to other global supply chains. As conclusions, implications for the design of cross-border supply chains are exposed and future research is presented.

Global economic crisis and Mexican automotive suppliers: impacts on the labor capital

The impact of the global economic crisis on the Mexican automotive suppliers and its effects on the labor capital are analyzed. Owing to the complexity of the subsystems involved in the automotive industry, a system dynamics approach was selected to develop the simulation model based on a case study. Nevertheless, because of the standard structure of the proposed model, it can be generalized to other automotive companies. The model provides a detailed causal analysis of how supply networks and local conditions interact. The results show the strong relationship existing between the local suppliers and the OEM at the core of the cluster, which can generate competitive advantages in the region. However, it can also create a gap in the local supply chains and in the labor capital when the demand of the OEM decreases due to factors such as the global economic crisis. The results reveal how clusters with a strong centralized structure in one industry make them highly specialized. However, the lack of effective public support policies makes them weaker in front of the variability imposed by globalization.

Techniques and Attributes Used in the Supply Chain Performance Measurement: Tendencies

The evaluation and performance measurement in supply chain (SC) is a key element in modern business competitiveness and it is an activity extremely important for improve its process, practices and common goals. The purpose of this chapter is to present a statistical analysis based in a literature review related to supply chain tendencies that includes 95 chapters published from January 2000 to June 2012. This research identifies the techniques and methodologies used in the supply chain performance evaluation process, and attributes most commonly evaluated as well as the industrial sector and regions where the solutions were applied, and finally the journals where they were published. The results show that multivariate analysis is the most important and frequent methodology for study supply chain performance, looking to find variables relations and association among them. Also, the finds indicate that most evaluated attributes in supply chain performance are the delivery, information flow and processes activities. The most important research groups that are investigating this area are located in Unites States of America, Taiwan and United Kingdom.

Supply Chain Disruptions Propagation Caused by Criminal Acts

To understand disruptions and their propagation along the supply chains is becoming critical for designing competitiveglobal supply chains operating in emerging economies. It leads to economic damages to every organization involvedin a supply chain, but it also decreases national logistics competitiveness. This research provides numerical elementsin terms of significance of the security issue in Latin America, and at the same time, proposes a system dynamicsassessment model based on real-life information, able to establish analysis scenarios in order to measure the impactsderived of supply chain disruptions propagation caused by criminal acts. Finally, useful conclusions for designingmore resilient supply chains and future research are exposed.

Processes and measurement of knowledge management in supply chains: an integrative systematic literature review

During the last 10 years, important contributions about knowledge management (KM) issues in supply chain management (SCM) have been published. The current paper aims to build upon previous literature reviews focused on KM in supply chains (SCs) from an integrative perspective, particularly recognising the studies conducted by Bhosale and Kant (2016. “Metadata Analysis of Knowledge Management in Supply Chain: Investigating the Past and Predicting the Future.” Business Process Management Journal 22 (1): 140–172) and Cerchione and Esposito (2016. “A Systematic Review of Supply Chain Knowledge Management Research: State of the Art and Research Opportunities.” International Journal of Production Economics 182: 276–292) as an effort to discuss the evolution of KM in the SC field. To this end, a systematic literature review including 210 papers is conducted over the period 2008–2017 from three positions previously not addressed jointly within the supply chain (SC) context: research methods employed by the authors; KM processes applied in the business processes across the SC; and intra and inter- organisational performance metrics linked with KM initiatives. Results exhibited that: (i) ‘Survey’ and ‘Case study’ are the two research methodologies mostly employed by authors (ii) the knowledge transfer is discussed in the majority of the studies reviewed, (iii) 114 intra and inter-organisational performance metrics are reported within the SC context from an empirical data approach. Findings concerning previous identified gap analysis and future lines of research are described.