Giovanni Lizarraga-Lizarraga

Bio: Giovanni Lizarraga-Lizarraga is an academic researcher from Universidad Autónoma de Nuevo León. The author has contributed to research in topics: Supply chain & Supply chain management. The author has an hindex of 2, co-authored 3 publications receiving 10 citations.

Decision policy scenarios for just-in-sequence (JIS) deliveries

Abstract: Purpose: The Just-in-Sequence (JIS) approach is evidencing advantages in efficiently managing variety-driven costs, and reducing the risk of disruption in sourcing, manufacturing companies and third-party logistics. This has increased its implementation in the manufacturing industry, especially in highly customized manufacturing sectors such as the automotive industry. However, despite its growing interest by manufacturers, scholarly research focused on JIS still remains limited. In this context, little has been done to study the effect of JIS on the fluidity of supply chains and processes of logistics suppliers as well as providing them with a decision making tool to optimise the sequencing of their deliveries. Therefore, the aim of this paper is to propose a genetic algorithm to evaluate different decision policy scenarios to reduce risks of supply disruptions at the final assembly line. Consequently, an algorithm considering a periodic review of the inventory that assumes a steady demand and short response times is developed and applied. Design/methodology/approach: Based on a literature review and real-life information, an abductive reasoning was performed and a case study application of the proposed algorithm conducted in the auto-industry. Findings: The results obtained from the case study indicate that the proposed genetic algorithm offers a reliable solution when facing variability in safety stocks that operate under assumptions such as: i) fixed costs; ii) high inventory turnover; iii) scarce previous information available concerning material requirements; and iv) replenishment services as core business value. Although the results are based on an auto-industry case study, they are equally applicable to other global supply chains. Originality/value: This paper is of interest to practitioners and academics alike as it complements and supports the very limited scholarly research on JIS by providing manufacturers and 3PL suppliers competing in mass customized industries and markets a tool to support decision-making. Implications for the design of modern supply chain fluidity in the manufacturing industry are also exposed and future research streams presented.

Uncertain Analysis Based on Milk-Runs Systems Using Bayesian Networks

Abstract: For several years, the role of original equipment manufacturers (OEM) has been changing. Now, their primary operations focus on design, assembly systems, and marketing. Considering that component suppliers provide more than 95% parts of a light vehicle, the complexity of the logistics is high. Seeking to comply with the Just in Time (JIT) philosophy and thus avoid the shortage of components on assembly lines, the companies use the inbound logistics to perform these operations from suppliers to OEMs. The Milk-run concept refers to carrying out the consolidated supply of components to OEMs through the planning of routes considering xed and cyclical time windows. Currently, Milk-run (MR) systems suffer from interruptions in component deliveries; this can produce monetary losses per minute of delay in the assembly line of OEM. Problems in MR have been approached from the perspective of optimization models with variations within them, and there are a few studies about variability and uncertainty in MR operations. The results of this research are favorable because not only uncertainty is quantified; the causes of optimistic and pessimistic scenarios are also quantified.

Measurement of travel time reliability of road transportation using GPS data: A freight fluidity approach

Abstract: Travel time reliability is one of the most important assets when it comes to designing and assessing freight fluidity of transportation systems. Guaranteeing reliable delivery times is, according to different international studies, a strategic competitive advantage. Nonetheless, emerging countries such as Mexico, do not currently count with specific indicators to measure travel time reliability from a freight fluidity approach. As such, there is no clear measurement of the impact and propagation of the variability of transit times throughout the supply chains. Since road transportation is the main mean of transportation in emerging countries, the aim of this paper is to present the analysis carried out to measure the travel time reliability thanks to different methodologies based on freight data collection using GPS (Global Positioning System), as a key element to assess freight fluidity in freight transportation corridors. The analysis measured items such as: (i) percentiles of travel time; (ii) planning time index; (iii) buffer time index; (iv) skew and range of travel. Different probability distributions were analysed and the distribution of travel time data was determined through statistical hypothesis test. The conclusion was that distributions with upper tails longer than usual fit better to the collected data. Evidences of mixture distributions in the travel time data were also found. Finally, the paper also presents useful conclusions to develop future research as well as to improve practices for decision makers.

What Industry 4.0 Means for Just-In-Sequence Supply in Automotive Industry?

Abstract: The available and future solutions for the digital transformation and use of exponential technologies indicate revolutionary changes in the whole supply chain of manufacturing and service processes. The vertical networking of smart manufacturing systems and the horizontal integration of value-making chains led to a new supply paradigm based on hyperconnected global logistics systems. The goal of the paper is to identify challenges of just-in-sequence supply in the automotive industry from the aspect of Industry 4.0 solutions. The authors introduce readers in both the Industry 4.0 paradigm as well as the just-in-sequence supply. Defining the conception of cyber physical logistics systems (CPLS) authors describe the I4.0 solutions based relations between just-in-sequence supply and Reference Architecture Model Industry 4.0 (RAMI 4.0). The main goal is to define challenges and impacts of Industry 4.0 paradigm on just-in-sequence supply.

Strategy to Build a Transshipment Port as a Catalyst to Achieving Critical Mass for Sabah’s Economic Growth

Abstract: Digital transformation has led to a new era of port development at an unprecedented pace. China represents a large percentage of total global trades, navigating the maritime silk-road to various global and regional ports. In Malaysia, the lack of concrete justifications for the issue of transhipment port strategy leads to a debatable framework. Hence, the aim of the paper is to critically discuss the strategy to build a transhipment port as a catalyst to achieving critical mass for economic growth in Sabah. The study draws heavily on existing literature on the theoretical evidence and the possible factors that shape strategy to build transshipment port in Sabah. Based on reviewed literature, various resultant strategies adopted to stand for their interest are discussed. In this way, this paper provides not only theoretical insights, but also strategically guides managers of organisations in Sabah, government, and businesses values towards building a transshipment port in Sabah to effectively retire cabotage policy to reduce cost, enhance port throughput, develop hinterland for critical mass, enhance ports-economic clusters connectivity, eliminate capacity bottleneck, unlock natural resources export potential, align port service towards regional port users’ needs and to give regional port powers a run for their money.