Spare parts are one of the important pillars in the after-sales service of automotive business.

Customers will satisfied and comfortable if the availability of spare parts is guaranteed.

Spare Part Center is one of function to support unit sales and as well as profit-oriented,

so the accuracy and speed of spare part acceptance by the customer is an important key

to winning the competition. Order Picking is one of the supply chain processes that play

a role in warehouse operations to meet customer needs. Order Picking is the most expensive

activity in warehousing and can reach 55% of the total cost of warehousing operations, so it

is considered a top priority in increasing productivity, even reaching 65% of total warehouse

operating costs. The purpose of this research is to increase productivity in the process

of picking order through reduction of processing time. Increased productivity is done by

improving the working method of the picking process. From the result the comparing, the

method by zone requires less total picking time (193.712 seconds) than by routing (249.559

seconds) decreased 55.85 second time, in other words, an increase of 22.38%. With the Visual

Stream Mapping (VSM) in this research can reduce to travel time, it means that the total

distance traveled is small than the current method. The impact from VSM approach will

eliminate time for preparation of 1.960 seconds, and take empty trolley of 200 seconds. In

this case some of traveling non-value

The aim of the study was to develop new laparoscopic technique for repeated recovery of sheep oocytes. Oocytes were aspirated with specifically designed catheter. It allowed to recover oocytes without ovary damage and to preserve very good quality of recovered oocytes. Fifteen ewes were oocytes donors. Oocytes were collected: one time (group I, n=15), two times (group II, n=15), three times (group III, n=10), four times (group IV, n=5). The endoscope was inserted into the abdominal cavity. Two trockars for putting the manipulators were inserted 15 cm cranial from the udder. Oocytes were collected by aspiration of the follicular fluid from the ovarian follicles. The observed clinical complications were: ovary bleeding and cicatrix at place of needle insertion, the fragmentary adhesion of infundibulum and ovary, adhesions of omentum and peri- toneum near the place where the grasping forceps were inserted and adhesion of ovary and uterus. Ovarian follicles (n=204) were aspirated, 130 (63.8%) oocytes were obtained. Out of 130 obtained oocytes, 112 were qualified for in vitro maturation. The remaining 18 oocytes (13.8%) were rejected due to cytoplasmic changes. The proposed technique allows for the collecting oocytes of good quality that can be used for IMV/IVF techniques and cloning.

In the face of challenges faced by today’s managers, such as unreliability of processes conducted

within the company, low quality of materials, too long time of fulfilling the customer

orders and missing the deadlines of their implementation, the role of dynamic parameters of

the warehousing as the source of competitive advantage of a modern enterprise is growing.

The aim of the study is to identify and analyze the factors determining the effective implementation

of the warehousing in the Distribution Center. In the research there has been

adopted the following hypothesis: with the increase in the number of customer orders, which

is characterized by an increasingly smaller number of assortment items, the importance of

managing constraints limiting the material flow within the warehousing is increasing. The

above-mentioned hypothesis is verified in accordance with the test procedure including literature

research and a case study. The research results show that the Theory of Constraints

is an excellent tool supporting the transformation of the warehouse management method.

With the help of the Theory of Constraints it is possible to determine precisely the places

in the material flow, where the adaptation actions undertaken bring down the greatest

effects.

In the logistics center (warehouse or distribution center), customer orders need to be picked up by the pickers. In this research, we examine the order-picking problem with sequencedependent constraints with two decision variables (container start time and product quantity) in a distribution center with a one-directional conveyor. The decision-making is based on the developed two variations of two-step matheuristics. At first, the main order-picking problem is divided into two subproblems. Next, each step of each variant of the subproblem is solved using a mathematical programming-based technique. Both matheuristics were better in 85 of 120 test instances compared to the initial model solved by mathematical programming. Pickers matheuristics were better on average at 46.56%, while Buffers matheuristics were better on average at 46.87%. The proposed matheuristics approach allows distributors to schedule orders in the logistics center fast enough and with fewer resources.

Appropriate product categorization in distribution centres is important for business success because of the possibility of intuitive product finding by the picker and increased product movement. Both of these factors result in the operational efficiency of the distribution centre. The goal of this paper is to explore a model of shelf space dimensioning of storage location on a rack with vertical and horizontal product categorization in a distribution centre, where the aim is to increase total product movement/profit from all shelves of the rack. This is controlled by a packer who must complete orders by getting the goods from shelves and picking them to the container. In this problem, we develop two heuristics and compare the archived results to the CPLEX solver. The average profit ratios of both heuristics are high and approximately equal to 99%. In 10 cases, optimal solutions have been found by heuristics.

Distribution centres are the important elements of modern supply chains. A distribution centre stores and ships products. In this paper, we investigate the model of the dimensioning of shelf space on the rack with vertical and horizontal product categorisation in a distribution centre, where the objective is to maximise the total product movement/profit from all shelves of the rack which is being managed by a packer who needs to complete orders selecting the products from the shelves and picking them to the container. We apply two newly developed heuristics to this problem and compare the results to the optimal solution found by the CPLEX solver. There are 8 steering parameters that allow for reducing the search space implemented in heuristics. Among them are parameters that decrease the number of products on the shelves, the category with a range for assigning most space for the most profitable products within the category; two versions of steering parameters for the number of generated product allocations, the step parameters for the intensity of solution diversification, and the movement/profit below which the solutions are not generated. The computational results are presented and indicate that higher-quality solutions can be obtained using the new heuristics. In 10 from 15 tests, both heuristics can find optimal solutions without exploring the whole solution space. For the rest test sets, the solutions received by heuristics are not less than 92.58%.