From the past many organizations have been severe impacted to their business continuity from unexpected disruptions or disasters. Disruptions to the business can result in company damage and failure. Therefore it is necessity for all organizations to establish and to apply a business continuity management (BCM) system based on ISO 22301 appropriate to its needs. It has been developed to protect against the likelihood of occurrence and recover from major incidents resume critical business activities and speed up the return to normal operations. This article is aim to study on the academic documents relevant literatures and to combine its knowledge about ISO 22301 with full explanation of BCM concept. Under the framework of ISO 22301 the process will be driven effectively to the success by 3 key factors starting from the executive management’s encouragement with its own set of goal in gearing forward to the BCM system. With full knowledge and clear understanding the BCM team will play a major role to ensure that a crisis management framework is consistent with best practice. All levels of staff members are fully aware of their role within the system and able to implement successfully with full co-operations and the opportunity to continuously improve company business culture. Lastly a recognized benchmark of good practice in BCM operation by one organization in Thailand has been mentioned as an example herewith. It goes without any doubts that it will be useful for other organizations those who like to follow and apply into good practice in accordance with the ISO 22301 effectively.

The research objectives were (1) to study its traceability system and (2) study the relationship model of on the traceability process of the meat processing industry in Thailand to support the ASEAN Economic Community and (3) to determine the consistency of the empirical data. The variables used in this study were the transformation process as the independent variable; the supply chain production process and the certification process as the mediator variables; and the animal disease control traceability and supply chain of Halal meat-processing industry in Thailand to support the Economic Community Asia as dependent variables. Qualitative and quantitative mixed methods study was applied using the questionnaires to collect data from 510 meat sample operators in Thailand. The statistical methods used to analyze data were the frequency percentage average value standard deviation and structural equation model. The results revealed that the model was well consistent with the empirical data. Chi – Square (χ) value was 288.297 at the degrees of freedom (df) of 256 with the probability p-value equal to 0.081 and chi - square relative (χ22/df) of 1.126. The index of harmony (GFI) was equal to 0.965 and modified harmony index measuring (AGFI) was equal to 0.933 and the index measuring the comparative (CFI) equal to .965 with the accuracy in estimating the parameters (RMSEA) equal to 0.016. In addition the quality of transformation process the supply chain production process the certification process and the animal disease control traceability directly influenced on the traceability process of in the supply chain of Halal processed meat industry in

The research investigated the process of transporting raw materials for production and the safety of the meat processing industry to support the ASEAN Economic Community. The study objectives were (1) to study factors that influenced the process of transporting raw materials for production and the safety of the meat processing industry to support the ASEAN Economic Community and (2) to determine the consistency of a causal model influencing the process of transporting raw materials for production and the safety of the meat processing industry to support the ASEAN Economic Community. The variables used in this study were the independent variables the organization environment and the organization resources. The mediator variables were the supply chain cooperation equipment strength food quality and Halal sign. The dependent variable was the process standard of transporting raw materials for production and the safety of the meat processing industry to support the ASEAN Economic Community. The researchers used a mixed method of qualitative and quantitative study. Questionnaires were used to collect empirical data from 510 meat operator samples. The statistical methods used to analyze data were the frequency percentage mean standard deviation and the analysis on the structural equation model. The results revealed that the model was well consistent with the empirical data. The Chi – Square (2) value was 122.231 at the degrees of freedom (df) of 150. The chi - square relative (2/df) was 1.815 with the probability p-value equal to 0.953. The index of harmony (GFI) was equal to 0.980 and the modified harmony index measuring (AGFI) was equal to 0.938. The index measuring the comparative (CFI) was equal to 1.000 and the index root mean square of the section standard (SRMR) was 0.020 and the index error in estimation parameters (RMSEA) was equal to 0.000. Additionally the research results also showed that the organization environment organization resources the mediator variables; the supply chain cooperation equipment strength food quality and Halal sign positively influenced the process standard of transporting raw materials for production and the safety of the meat processing industry to support the ASEAN Economic Community.

This research aims to reduce waste in the production process to meet the target to find ways to prevent defects occurring in the curing process and to improve preventative measures available today. The waste found in the curing process label the edges are blamed blistering edge under inflated tires cover on low. After brainstorming to find factors that affect the defect by using techniques Six Sigma (Six Sigma).The work five main steps in performing a job defining the problem measuring analyzing problems improved control and severity surveillance and monitoring disorders of the process. It was found that the raw materials are the main parameters that cause much waste as possible. Therefore we have developed an approach to improve the material by adding a preliminary inspection and design documents to determine work procedures. The benefits of this research can reduce the waste that occurs in the curing process of the target by reducing the rate of 8.0 % an average of 7.3% in a survey from January to May 2557 is an average rate of 6.0% In a survey in June 2557 equivalent to saving manufacturing cost 135045 baht per month. The rate of decline is likely to be quite good that make employees feeling and effort to cooperate in the reduction of waste in the production process.

This research proposes a hidden Markov model for detecting machines with multiple fillers producing soft drink for quality control in order to reduce defective products. The proposed model is compared with a classical generalized estimating equations model (GEE). The monthly data the number of defective products the correctness and the time spending in correction were collected from a machine in a sample factory in Pratumthanee province. The two hidden states of the fillers are workable and unworkable. The states has a logistic distribution. The results show that the correctness of the filler error occurrence does not improve the probability of being in a unworkable state neither the period of time spending on correction. The current state seems to be the same as the previous state