In a continuous manufacturing environment where production and consumption occur simultaneously, one of the biggest challenges is the efficient management of production and inventory system. In order to manage the integrated production inventory system economically it is necessary to identify the optimal production time and the optimal production reorder point that either maximize the profit or minimize the cost. In addition, during production the process has to go through some natural phenomena like random breakdown of machine, deterioration of product over time, uncertainty in repair time that eventually create the possibility of shortage. In this situation, efficient management of inventory & production is crucial. This paper addresses the situation where a perishable (deteriorated) product is manufactured and consumed simultaneously, the demand of this product is stable over the time, machine that produce the product also face random failure and the time to repair this machine is also uncertain. In order to describe this scenario more appropriately, the continuously reviewed Economic Production Quantity (EPQ) model is considered in this research work. The main goal is to identify the optimal production uptime and the production reorder point that ultimately minimize the expected value of total cost consisting of machine setup, deterioration, inventory holding, shortage and corrective maintenance cost.

A real inventory system for single item with specific demand characteristics motivates this works. The demand can be seen as two types of independent demand, where compound Poisson process describes the characteristics of each demand. The first type of demand is rarely occurred with relatively large size, while the second type of demand is often happened with relatively small size. In order to maintain inventory level, every time the first type of demand occurs a replenishment of stock is conducted which follows order-up-to-level inventory policy. In order to find the optimal inventory decision for that system, a mathematical model of the system is developed with the objective to minimize expected total inventory cost. Some of model assumptions are infinite replenishment, deterministic lead time, and completely backlogged shortages. To solve the model, it is then divided into two sub-problems and classical optimization technique is employed to help find the solution of each sub problem.

The firms and the industries still using the ways and means of promotion and publicizing the products have still not achieved the level of success as the modern means of social media is providing in creating a huge demand for their products. This study involves the modern means of communication agility promises success, development, and significance of the product in an efficient manner. Social media plays a vital role in creating a demand for the products by explaining the need of the product and a very effective source of creating a link among industries, firms, management, employees and especially the individual ones who come to know the skills and expertise. The impact of social media in strengthening the relationship with the customer has been very keenly observed and the findings show that such research has detailed that the use of social media has influenced the internal and the external capabilities. The data gathered in this study shows that the firms and the industries using the approach of social media have a revolutionary impact on building and strengthening the relationship between the customer and the management, employees. This study shows a strong bond between a firm and the customer using social media.

This study aims to identify and mitigate supply chain risks associated with organic rice in Thailand, based on the principle of supply chain risk management (SCRM). The risk measurement is performed using Best-Worst method (BWM) for ranking the criticality of different factors in order to find the appropriate ways for improving and developing new ideas for supply risk chain management. The study identifies 26 risk factors associated with the organic rice supply chain based on the literature and interviews with four experts. The order of risk priority in the organic rice supply chain in descending order (the top 5) is as follows: Lack of efficient equipment or machinery, Lack of organic rice mill, Lack of labor, Transportation cost, and Production cost. The SCRM guidelines of organic rice in Thailand include cost reduction and investment in infrastructure.

The objective of this research is to examine the factors that affect tourism investment in the CLMV countries (Cambodia, Laos, Myanmar, Vietnam and Thailand). This study employs panel data as quarterly data from 2000 - 2019. Data analysis employs the panel unit root test estimated by fixed effect estimation. The results revealed that the Minimum Loan Rate factor has a negative effect on tourism investment while the number of international tourists and Gross Domestic Product (GDP) positively affect tourism investment. Therefore, in each CLMVT country, the relevant authorities should determine a suitable Minimum Loan Rate (MLR), target tourism promotion as a single region and pursue policies that enhance the economy. Such policy should support employment in the tourism sector and enhance the economic system of the CLMVT countries.

This study considers a supply chain master planning problem in an uncertain environment where operating costs, customer demand, production capacity, manufacturer’s acceptable defective rate, and manufacturer’s acceptable service level are uncertain. Our supply chain consists of one manufacturer, multiple suppliers, and multiple distribution centers. While one objective is to minimize the total costs of logistics that consists of purchasing cost, production cost, and distribution cost, the other objective is to maximize total value of purchasing. These objectives are in conflict with each other. In this paper, the fuzzy multi-objective linear model is applied with α-Cut analysis to achieve the optimal supply chain master planning in an uncertain environment by balancing these two conflicting objectives. The α-Cut analysis is introduced to ensure decision-makers that the outcome satisfies their preferences based on a specified minimum allowed satisfaction value (α).

Corporate social responsibility (CSR) is one of the important factors to increase the customer satisfaction. It is part of the economic, legal and moral exercises of a business element guided towards enhancing the business and societal desires. However, companies are facing various issues while adopting CSR practices, particularly Indonesian logistics companies. Challenges in the way of CSR practices affect adversely on customer satisfaction. Therefore, the objective of the present study is to highlight the role of CSR in customer satisfaction among Indonesian logistics firms. In this study, opinions of logistics customers were gathered through survey questionnaires. All the responses were analyzed through structural equation modeling technique. The findings of the study suggest that logistics companies should focus on two CSR practices, 1) environmental contribution and, 2) human resources. Environmental contribution and human resource promote community development which lead towards higher customer satisfaction.

Steel futures have the function of price discovery and hedging. Steel related enterprises can judge the hedging strategy through the direction of steel futures price volatility, and reasonably avoid the risk brought by price volatility. Therefore, it is particularly important to study steel futures price volatility and its influencing factors. Because steel futures in China have characteristics of peak and rear tail aggregation, the paper constructs Model of GARCH (1,1) to make positive analysis of futures price volatility and its influencing factors of deformed steel bars and hot rolled coils, and the following conclusions have been drawn: (1) The volume and open interest of deformed steel bars have very significant explanatory ability to futures price volatility of deformed steel bars; (2) The volume and open interest of hot rolled coils also have very significant explanatory ability to futures price volatility of hot rolled coils; (3) The sustainable capacity of the price volatility of deformed steel bars and hot rolled coils is relatively small; (4) Iron ore price have no obvious explanatory ability to futures price volatility. Finally, some managerial implications and suggestions are derived from the analysis of the proposed model.

Cordyceps are a form of herb that is nurtured and propagated utilizing organic farming techniques. This study investigated consumers’ intention towards adopting the organic herb cordyceps, also referred to as “Thungchao” in Thai language. The research was driven by increased health awareness among people, and skewness towards use of organic as compared to conventional medication. In Thailand, the herb has been consumed traditionally for years, because of its medical benefits. The Theory of Planned Behavior (TPB) was applied to investigate the outcomes of users’ perceptions (perceived experience with organic product, perceived health benefit, information awareness) and TPB aspects (subjective norm, perceived behavioral control, attitude towards organic herb) to examine intentions of consumers’ towards adopting codyceps. The research collected primary data from 452 Thai respondents. Collected data were evaluated utilizing Structural Equation Modeling analysis. Results revealed that for the perceived customers’ experience, intention to use organic herb cordyceps was positively and significantly influenced by perceived experience with organic hers and information awareness. All the TPB variables – subjective norm, perceived behavior control, and attitude towards organic herbs – significantly and positively influence consumers’ intention towards organic herb cordyceps. The research recommended that organic herb cordyceps “Thungchao” has many medical benefits, and its consumption should be encouraged. Information awareness and sharing of the knowledge of the herb’s medical requirement and benefits, resources and dosage are necessary to encourage or rather influence consumers intention.

This paper investigates the relationship between supply chain management practices and organizational performance with the mediating role of innovation. Data were collected from 207 small and medium enterprises (SMEs) in Punjab, Pakistan. PLS-SEM was used to analyze the proposed hypotheses. Findings reveal that strategic partnership with supplier and level of information sharing had no influence on organizational performance. In addition, quality of information sharing, internal supply chain process, and lean practices had significant influence on organizational performance. Moreover, all five practices of supply chain management had significant and positive influence on innovation. Meanwhile, innovation significantly and positively mediated the relationship between supply chain management five practices and organizational performance. The findings of this study will help managers of SMEs enhance their performance.