Recently, Lean Six Sigma (LSS) has attracted much attention from both researchers and practitioners. In fact, many published papers used a quantitative research methodology to build and test theory in the field of LSS implementation in manufacturing area. Very few studies have been reported about the critical success factors influencing of six sigma implementations. The aim of this study is to present the results, from an empirical evidence, of Six Sigma implementation in Tunisian manufacturing. Therefore, fourteen main factors have been identified through literature review and questionnaire survey. Interpretive structural modeling (ISM) has been used to develop a hierarchical structure for analyzing the interactions among the key factors. By using the MICMAC technique, the barriers were classified into four groups according to their driving power and dependence power. Our finding provides important insight to managers and practitioners about factors in the LSS implementation process.

The rice industry policy must be comprehensive with a scope of policy from upstream to downstream. In other words, it must cover all supply chains of the rice industry consisting of five levels, such as, the level of farmers who process rice, grain traders, rice traders, rice traders in production areas and rice traders in urban markets.The purposes of this research are (1) to identify and model the current supply chain system of the rice industry; (2) analyze the simulation of the rice industry supply chain system policy; and (3) recommend rice industry policies which provide incentives for all rice industry supply chain actors. The research method used is the case study method. The aim is to understand a phenomenon in the rice industry supply chain system in depth in West Java Province – Indonesia. The results show that the rice industry supply chain system model is a closed cycle consisting of material flow feedback in the form of grain, rice, money and information flow in the form of demand that occurs in the interaction of actors from farmers, grain traders, rice milling units (RMU), rice traders in production centers to rice traders in urban wholesale markets in Bandung and Jakarta. Every businessman in the rice industry has the same goal, which is to maximize the profits. Thus, it can potentially lead to a conflict of interest which is manifested in the desire of every businessman to sell as much as they produce at the highest possible price but this will not happen because of the limited resources they have, such as capital and the market demand they receive. The strategy of increasing production is often carried out by the government at this time which it cannot be done partially without considering other rice industry supply chain instruments. The impacts of this partial policies are farmers, collectors, rice traders and rice mills gain unstable profits and the benefits received are lower than before the production strategy and policy were implemented. The recommended policy strategy is the rice industry supply chain system should be able to guarantee the availability of sufficient rice and capable of guaranting the welfare of farmers with a policy that integrates rice farming and agro-industry production strategies, financing strategies and accessible to all levels of actors in the rice industry supply chain, human resource development strategies and rice business risk management strategies, simultaneously. The integrated policy strategy needs to be carried out since rice supply chain management is a coordinating system of material flow in the form of grain, rice, money, facilities and information flow in the form of orders or requests, knowledge and innovation.

In production/inventory control systems, the goal of the controller is to generate sophisticated decisions by controlling the order rate and inventory level. This paper aims at modeling a dynamic-stochastic production/inventory control system under two sources of variability (uncertainty) including uncertainties on demand rate and frustrating rate. The study deals with obtaining a robust optimal design of a Proportional-Integral-Derivative (PID) controller in in the stochastic control system. For this purpose, a new robust simulation-optimization method in the class of computational intelligence is proposed. To cope with the unknown distribution of uncertainty, the crossing weighted uncertainty scenarios are combined with the proposed method. Within this study, a new sequential robust efficient global optimization is proposed to make a trade-off between optimal and robustness terms in final optimization results. Finally, a numerical case with simulation experiments is conducted to demonstrate the advantages of the proposed policy in terms of optimal result, robustness, and computational cost.

The research aimed to evaluate the impact of operations management practices (OM) on the competitive advantage of Saudi Arabian Small and medium-sized enterprises (SMEs). It further aimed to analyse the mediating role of supply chain management practices (SCM). The research design of the study was quantitative, and primary data was gathered using a close-ended survey questionnaire. In this research, 383 participants were recruited belonging to different industries. The analysis was conducted on SmartPLS with SEM as the primary technique. The results revealed that operations management practices significantly helped in gaining competitive advantage, and supply chain management practices mediated the relationship partially. However, this research was limited to SMEs of Saudi Arabia, therefore, it can be improved in the future with the inclusion of other factors and considering other countries as well. Precisely, it is recommended that the SMEs should focus on leveraging their core competencies or identify an area which can give them a definite competitive advantage and further ensures that customer needs are translated on the product planning.

The objective of this article is to assess the impact of supply chain relationship quality on supply chain performance and financial performance through environment uncertainty of high-tech agricultural enterprises in Vietnam. The study conducted data analysis based on 198 agricultural firms applying high technology in high-tech agricultural group and in all of Vietnam. The results show that, agricultural enterprises applying high technology with supply chain relationship quality had a strong positive impact on supply chain performance and supply chain flexibility. In addition, supply chain performance played a significant role in financial performance. Finally, Environment uncertainty and technological innovation played a statistically significant moderate role in the relationship between supply chain relationship quality and supply chain performance. For businesses with less environment uncertainty, the relationship was stronger and vice versa. The bigger the technology innovation, the stronger there the relationship.

The study on marketing in terms of the creative economy as a result of COVID-19 is a dynamic problem between business sustainability and the business environment. Business strategy is the key to improve marketing performance, antecedent’s entrepreneurial orientation and market orientation business strategies to drive the value of dynamic innovation and marketing capabilities. Business strategy needs to be established based on Resources based theory (RBV) to manage business resources effectively and efficiently in the craft business. This paper performs a survey on 187 entrepreneurs of Nyatu tree sap products, in the province of Central Kalimantan, Indonesia. The study is a quantitative analysis with a questionnaire processed with the application of SEM-AMOS 24 statistics. The results of the research estimate and goodness of fit index and evaluation of business strategies are applied to reach an environmentally friendly and quality manner for customer support. The research implication is that businesses can continue to implement dynamic business strategies with the business environment in their business practices during the COVID-19 pandemic. The research can also be a reference for empirical research studies on business strategies for handicraft business resources.

Livestock sector including pig is developing in Vietnam, which plays a crucial role in the economic structure of Vietnam and meets the demand of Vietnamese. The study was involved 120 pig farmers, 3 retailers, 3 wholesalers, 12 middlemen, 3 slaughterhouses, 12 sellers, 3 processors, and 12 consumers in three districts who were chosen as respondents in the value chain. The study was implemented to determine the value chain and benefit distribution of pig industry in Tra Vinh province. Snowball sampling and purposive method were used in this study. The results show that there were three channels of pig in Tra Vinh province during the context of African Swine Fever (ASF). There were three value chains which were found out in the value chain of pig industry. Middlemen played an important role in the value chain. Both of three passed through slaughterhouse as their slaughtering service. The shortest value chain is from farmer – middlemen-cum-seller – consumer. Farmers contributed a high value-added share in the value chain. It could be concluded that in Tra Vinh province, the longer value chain, the higher price the consumer takes. We suggested that the improvement of the number of pig and stabilization of the value chain of pig industry are the current mission and the strategy to be implemented.

The objective of this paper is to assess the impact of supply chain quality integration on green supply chain management, environment performance and financial performance. The data was analyzed on 568 Vietnamese tourism businesses. Results were analyzed using SPSS 22 and Smart PLS 3.6 software. The results show that supply chain quality integration had a positive impact on green supply chain management and financial performance. Green supply chain management also had a positive impact on environment performance and financial performance. Green supply chain management also played a full mediating role in the relationship between supply chain quality integration and financial performance. However, neither size nor institutional pressure played any moderating role in the relationship between green supply chain management and financial performance and environment performance.

The geographical constrain of small islands associated with fisheries commodities, is due to the lack of insufficient infrastructure and socio-economy characteristics, in addition to the nature of fisheries commodities where the durability and inconsistency of quality and quantity of the particular region become very vulnerable to uncertainty of supply chain. This study aims to formulate a strategy to mitigate the existing effect of uncertainty supply chain in Southeast Maluku Regency. The data mining approach with naïve bayes was used to determine the clusters of areas with high to low interdependency in villages and sub-districts. In addition, the House of Risk (HOR) was used to identify the cause of risks and provided the most effective and efficient alternative strategy to mitigate the uncertainty of the fisheries' supply chain sector. Data were collected from 28 villages to obtain 322 datasets by using the purposive sampling technique and expert assessment method for the data mining process, and HOR, respectively. The result show that the village location, resources, and fishermen's ability to sell and buy their gear were the main determinant factors of interdependency. Furthermore, there were, at least, three clusters of interdependencies with the integration of a web-based system to help spread information to fishermen and aquaculture farmers. In conclusion, policymakers need to be more adaptable to the use of information technology to efficiently improve the welfare and performance of coastal communities, aside from constantly enhancing the region's infrastructure.

Web based and/or existing e-commerce have changed the traditional view of CRM to the eCRM. Recent studies on eCRM has investigated success factors of e-CRM in different contexts and fields. This paper aims to investigate the effect of customer satisfaction, customer trust and commitment, customer profitability on eCRM in Saudi Arab. This study was designed quantitative cross-sectional questionnaire survey. This quantitative study used questionnaire survey design and 319 respondents were taken into account for analysis procedure. Structural Equation Modelling was applied and SmartPLS tools was used to test the hypotheses. Customer satisfaction, customer profitability, trust and commitment have shown to have positive significant effects on eCRM. Empirical evidence of this study confirmed that from the customer point of view customers satisfaction, customer profitability, customer trust and commitment were the strong predictors of successful eCRM.