Diagnosing the service quality of perishable-food logistics: temperature-sensitive milk delivery

PurposeHigh-quality cold-chain logistics are key to effectively managing the quality of temperature-sensitive foods. Hence, this study investigates the service quality of such logistics, using a real-life case of temperature-sensitive milk delivery.Design/methodology/approachThis study focuses on developing business analytics for quality control in cold-chain perishable-food logistics, grounded in normal accident theory and stakeholder theory, and tests them using real-world data.FindingsThe empirical business-analytics results indicate that cargo locations, logistics status and delivery times are the essential factors that influence the quality of temperature-sensitive milk.Research limitations/implicationsThis study confirms that a combination of normal accident theory and stakeholder theory can be usefully applied to the development of strategies for managing perishable-food logistics. As such, its proposed business analytics provide a fresh foundation for research on logistics quality management.Practical implicationsThe balance between efficiency and service quality in a logistics system should be assessed carefully, and logistics companies should collaborate with their stakeholders and can help to mitigate potential cold-chain risks.Originality/valueThis pioneering analytical study explores the essential quality issues that confront cold chains and demonstrates how to extract vital insights from temperature-sensitive food logistics monitoring data. As such, it represents a noteworthy contribution to the field of logistics quality management.

African Economies in the Shadow of China: Effects of Bilateral Trade Structure on Economic Growth in Africa

This study aimed at assessing the effects of bilateral trade intensity by export categories in the China–Africa trade links on economic growth in Africa, by using a production function approach in a panel system GMM estimator. The findings suggest that conditional on the level of the logistics index and China’s FDI to Africa, economic growth tends to be greater in countries with higher index of trade intensity in manufactured exports to China. Another noticeable finding is that the potential contribution of manufactured exports to economic growth is higher than that of primary exports; African countries are constrained in their trade expansion with China by low-logistics quality. Surprisingly, the current logistics infrastructure, as low quality as they are, remain somehow adequate for primary commodity exports to China. JEL Codes: F14, F43, O19, O47, O55

Design of Job Grading Model in Operational Division of PT. Antariksa Anugrah Perkasa

Along with the development of the logistics industry, PT Antariksa Anugrah Perkasa as a logistics company that provides freight forwarding services with relative prices, where to obtain a good logistics quality required good quality of employees. To get employees with capabilities that match the required by the logistics department, work analysis is needed which can be used as a reference to classify the work that the results can be processed into grades or grades. So, the purpose of this study is to get a decent job grading design to be applied in the logistics section. This research used qualitative explorative and descriptive methods. For data collection, it used interviews to informants and observations in PT Antariksa Anugrah Perkasa. The type of data was primary data and to process the data types that have been obtained, researchers referred to Job Grading system which is Decision Band Method.

FLEXIBILITY ASSESSMENT TO MITIGATE COMPLEXITY: TRUCKS PRODUCTION ANALYSIS

New products are continuously developed in order to support customized demands. Flexibility supports customized demands, low costs, and agility, but it remains a challenge with regards to high-volume and high-diversity complexity as observed in trucks production. This research aims to discuss an assessment approach based on AHP application to rank flexibility projects. It is a multi-criteria decision method based on the Analytic Hierarchy Process (AHP). Decision-makers (88 managers) from different truck plant areas (production, logistics, quality, sales and finance) were interviewed and asked to consider lean thinking, mass customization, and agility to rank flexibility improvement projects that aim to reduce time-to-market and increase company competitiveness increase.https://doi.org/10.13033/ijahp.v9i1.404

THE PROMOTING EFFICIENT LOGISTICS SERVICES IN INTERNATIONAL TRADE

The role that trade logistics influence son volume and value of international trade and the extent to which poor quality logistics constitute a barrier to trade are determined. Analyzed various impacts of logistics quality, infrastructure and customs procedure son transportation costs. This study confirms strong impact of logistics quality on trade according the World Bank’s Logistics Performance Index. Improvement the quality of logistics services is associated with trade growth and exports. Building capacity to connect to global logistic networks of firms, suppliers and consumers is a primary issue in development of international trade where predictability and reliability become even more important than costs.