This research was intended to produce an order (job) scheduling model at Carton Packaging Industries (CPI) that is useful for giving information about the time delivery to customers. The proposed model is quite complicated because of the characteristic of Make to Order (MTO) varies production process greatly between each order. The job’s schedule for CPI is prepared for production process that consists of 5 stages where in each stage uses different type of machinery. Not all jobs can be processed by all machines at a given production stage. Every job flow through 5 stage in the same order, but not all stages have to visited by all jobs. Stages may be skipped for a particular job. This condition makes CPI is classified as Hybrid and flexible flowshop for machine eligibility (HFFME). HFFME is complicated and is difficult to calculate by using conventional heuristic model. This research used genetic algorithm for solving the complex problem of HFFME and the resulting model called the Genetic Algorithm for hybrid and flexible flowshop with machine eligibility (GA-HFFME). This model is developed to minimized makespan, the objective of scheduling. The experiment was conducted towards 11 orders and it was found that the GA-HFFME is effective to solve that problem.
Nowadays, carton boxes are very popularly used, mostly in food industries, pharmacy and other consumer products. Most carton box industries work base on customer order (Make-to-order company), because most of carton box order are prepared for particular customer. Carton box are not only used for containing and protecting the product, but also functioned to inform the product to the customers. Make-to-order company has a high level of uncertainty such as the type and design of the product, the step of production, production time, cost, equipments and machine. This could create further problems; the overdue of order and completing process, and the acceptability of the product. This research is intended to design an order processing model for the carton box industry to accelerate order receipt process and evaluate the feasibility of the order. This paper focused on two models, those are the order entry model and order evaluation model. In order entry model, product code is given, and calculation model for needed raw material is made by using mathematical formulation. In order evaluation model, expert system and decision tree are used for analyzing the process capability and selecting machinery as well as designing the steps of production.
The oobjective of this research is to design Base Pay Compensation System that based on Person Value in order to increase internal equity within a company. Person Value determined by short of competencies possessed by a job holder that relevant to the job competency model. Through this research, each and every managerial jobs under general manager completed by a competency model defined by a panel of expert. The expert panel also determines relative value of each competency based on its importance role in supporting the company achieving the goals. Person Value of job holders was calculated based on their available competency indicated through a multi-rater approach. Finally base pay of every job holders was calculated by redistributing current company budget proportionally based on their person value. The result of this research validated through a face validity method conducted by senior management team as key stake holders of the company.
Partnership development and technology business incubator on the basis of mutual interests will require more real if developed until the stage of commercialization of technological innovation in the markerplace. The partnership is based on sharing information, experiences and resources between hinger education institutions, research institutions and the community. It is expected that such partership will preduce new business organization that comes from new ideas and new entrepreneurs. In this paper the initial design model is given as networks center college of growth in the form of partnership networks of higher education institutions and research institutions that support the development needs of the community business organizations through technology and business incubators.
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