طرّاحي اقتصادي مدل يكپارچه نمودار كنترل و مديريت نگهداري و تعميرات در شركت صنايع چوب كيش

Economic design of integrated model of maintenance management and control chart in Kish Wood Industries Company

ﮐﻨﺘﺮل ﻓﺮاﯾﻨﺪ آﻣﺎري )SPC( و ﻣﺪﯾﺮﯾﺖ ﻧﮕﻬﺪاري و ﺗﻌﻤﯿﺮات )MM( دو اﺑﺰار ﮐﻠﯿﺪي ﺑﺮاي ﮐﻨﺘﺮل ﻓﺮاﯾﻨﺪﻫﺎي ﺗﻮﻟﯿﺪ ﻣﯽﺑﺎﺷﻨﺪ. اﯾﻦ دو اﺑﺰار در ادﺑﯿّﺎت ﻣﻮﺿﻮع و ﻧﺤﻮة ﻋﻤﻞ ﻣﺘﻔﺎوﺗﻨﺪ، اﻣّﺎ اﻫﺪاف ﻣﺸﺘﺮﮐﯽ را دﻧﺒﺎل ﻣﯽﮐﻨﻨﺪ. ﻣﻬﻢﺗﺮﯾﻦ اﻫﺪاﻓﺸﺎن رﺳﯿﺪن ﺑﻪ ﮐﯿﻔﯿﺖ ﺑﻬﯿﻨﻪ ﺗﻮﻟﯿﺪ، ﮐﺎﻫﺶ زﻣﺎن از ﮐﺎر اﻓﺘﺎدﮔﯽ و ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪ ﺑﺎ ﮐﻨﺘﺮل ﺗﻐﯿﯿﺮات در ﻓﺮاﯾﻨﺪ ﺗﻮﻟﯿﺪ اﺳﺖ. اﺳﺘﻔﺎده از اﯾﻦ دو اﺑﺰار ﺑﺼﻮرت ﯾﮑﭙﺎرﭼﻪ ﻣﯽﺗﻮاﻧﺪ ﮐﺎراﯾﯽ ﺑﻬﺘﺮي از ﻧﻈﺮ ﻫﺰﯾﻨﻪ و ﮐﯿﻔﯿﺖ ﺑﺮاي ﺳﺎزﻣﺎن داﺷﺘﻪ ﺑﺎﺷﺪ؛ از اﯾﻦ رو در اﯾﻦ ﻣﻘﺎﻟﻪ، ﻣﺪل ﯾﮑﭙﺎرﭼﻪ ﮐﻨﺘﺮل ﻓﺮاﯾﻨﺪ آﻣﺎري و ﻣﺪﯾﺮﯾﺖ ﻧﮕﻬﺪاري و ﺗﻌﻤﯿﺮات ﺑﺎ در ﻧﻈﺮ ﮔﺮﻓﺘﻦ ﻫﺰﯾﻨﻪ ﻫﺎي دو اﺑﺰار در ﺷﺮﮐﺖ ﺻﻨﺎﯾ ﻊ ﭼﻮب ﮐﯿﺶ ﻃﺮّ اﺣﯽ ﺷﺪه اﺳﺖ. از ﻧﺮم اﻓﺰار MATLAB و روﯾﮑﺮد grid-searchﺟﻬﺖ ﯾﺎﻓﺘﻦ ﻣﻘﺎدﯾﺮ ﺑﻬﯿﻨﻪ اﻧﺪازه ﻧﻤﻮﻧﻪ )n(، ﭘﻬﻨﺎي ﺣﺪود ﮐﻨﺘﺮل ) L(، ﺑﺎزه ﻧﻤﻮﻧﻪ ﺑﺮداري )h( و ﺗﻌﺪاد دﻓﻌﺎت ﻧﻤﻮﻧﻪ ﺑﺮداري در ﻓﺎﺻﻠﻪ زﻣﺎﻧﯽ ﺗﻌﻤﯿﺮات ﺑﺮﻧﺎﻣﻪ رﯾﺰي ﺷﺪه )k( اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ ﺗﺎ ﻧﺮخ ﻫﺰﯾﻨﻪ ﮐﻞ ﺑﻪ ازاي ﯾﮏ ﺳﺎﻋﺖ ﺣﺪاﻗﻞ ﺷﻮد. ﻣﻘﺎدﯾﺮ L ،h ،n و k ﺑﺮاي ﻓﺮاﯾﻨﺪ روﮐﺶ ﮐﺎري، ﺑﻪ ﺗﺮﺗﯿﺐ 5، 2/9 ،1 و 30 ﻣﺤﺎﺳﺒﻪ ﺷﺪﻧﺪ.

Statistical process control and maintenance management are two key tools for controlling production processes. However, These two tools are traditionally separated (both in science and in business practice), their goals overlap a great deal. Their common goal is to achieve optimal product quality, little downtime and cost reduction by controlling variances in the process, that achieving these goals will increase the level of reliability of product quality. Using these two tools together can have better performance in terms of cost and quality for the organization; Therefore, in this research, an integrated model of statistical process control and maintenance management has been designed by considering the costs of two tools in Kish Wood Industries Company. The optimization criterion is to minimize the average total cost per unit time of these two systems. For this purpose, from MATLAB software and grid search approach to find the optimal values of sampling size (n), width of control limits (L), sampling interval (h) and number of sampling times during the planned maintenance (k) is used. The values of n, h, L and k for the laminating process were calculated as 5, 1, 2.9 and 30, respectively. The results of this optimization in the studied process show that the duration of the planned maintenance should be increased compared to the existing program, and this can be due to compensatory maintenance when the false alarm is out of control of the process.