Op Man Final Review Problems

5perc entwhic his twos tandarddev iations

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Unformatted text preview: ned ques tionnaires from the 1,200 meals eac h day . The res ults are as follows : Dec ember 1 Dec ember 2 Dec ember 3 Dec ember 4 Dec ember 5 Dec ember 6 Dec ember 7 Dec ember 8 Dec ember 9 Dec ember 10 NUMBER OF UNSATISFACTORY SAMPLE MEALS S I ZE 74 1,000 42 1,000 64 1,000 80 1,000 40 1,000 50 1,000 65 1,000 70 1,000 40 1,000 75 1,000 600 10,000 a. Determine the , Sp, UCL and LCL bas ed on the ques tionnaire res ults , us ing a c onfidenc e interv al of 95.5 perc ent, whic h is two s tandard dev iations . (Round your answers to 4 decim al places.) Sp UCL LCL 0.0600 0.0075 0.0750 0.0450 b. What c omments c an y ou mak e about the proc es s ? The process is out of statistical control. Worksheet Problem 13­10 Learning Objective: 13­02 Analyze process quality using statistics. Problem 13-10 You are the newly appointed as s is tant adminis trator at a loc al hos pital, and y our firs t projec t is to inv es tigate the quality of the patient meals put out by the food­s erv ic e department. You c onduc ted a 10­ day s urv ey by s ubmitting a s imple ques tionnaire to the 400 patients with eac h meal, as k ing that they s imply c hec k off that the meal was either s atis fac tory or uns atis fac tory . For s implic ity in this problem, as s ume that the res pons e was 1,000 returned ques tionnaires from the 1,200 meals eac h day . The res ults are as follows : Dec ember 1 Dec ember 2 Dec ember 3 Dec ember 4 Dec ember 5 Dec ember 6 Dec ember 7 Dec ember 8 Dec ember 9 Dec ember 10 NUMBER OF UNSATISFACTORY SAMPLE MEALS S I ZE 74 1,000 42 1,000 64 1,000 80 1,000 40 1,000 50 1,000 65 1,000 70 1,000 40 1,000 75 1,000 http://e z to.mhe c loud.mc gr a w- hill.c om/hm.tpx? todo= pr intvie w 18/29 1/29/2014 Assignme nt Pr int Vie w 600 10,000 a. Determine the , Sp, UCL and LCL bas ed on the ques tionnaire res ults , us ing a c onfidenc e interv al of 95.5 perc ent, whic h is two s tandard dev iations . (Round your answers to 4 decim al places.) Sp UCL LCL 0.0600 ± .005 0.0075 ± .005 0.0750 ± .005 0.0450 ± .005 b. What c omments c an y ou mak e about the proc es s ? The proc es s is out of s tatis tic al c ontrol. Explanation: a. NUMBER OF UNSATISFACTORY SAMPLE MEALS S I ZE Dec ember 1 74 1,000 Dec ember 2 42 1,000 Dec ember 3 64 1,000 Dec ember 4 80 1,000 Dec ember 5 40 1,000 Dec ember 6 50 1,000 Dec ember 7 65 1,000 Dec ember 8 70 1,000 Dec ember 9 40 1,000 Dec ember 10 75 1,000 Sum: 600 10,000 = p 0.074 0.042 0.064 0.080 0.040 0.050 0.065 0.070 0.040 0.075 600 = 0.060 10(1,000) UCL = + 2Sp = 0.060 + 2(0.0075) = 0.0750 LCL = − 2Sp = 0.060 − 2(0.0075) = 0.0450 b. The c hart indic ates that the proc es s is out of c ontrol. There are 3 s amples at or outs ide the c ontrol limits . The adminis trator s hould inv es tigate for the c aus e of the v ariation in the quality of the patient meals . http://e z to.mhe c loud.mc gr a w- hill.c om/hm.tpx? todo= pr intvie w 19/29 1/29/2014 15. Assignme nt Pr int Vie w awar d: 1.42 out of 1.42 points Problem 14-14 Meritor is s o pleas ed with the outc ome from prev ious s ugges tions that the c ons ultants are inv ited bac k for more work . The c ons ultants now s ugges t a more c omplete robotic automation of the mak ing of muffler as s emblies and als o a reduc tion in c ontainer s iz e to ten per c ontainer. Meritor implements thes e s ugges tions and the res ult is that the muffler as s embly fabric ation c ell now av erages approx imately 36 as s emblies per hour, and the c ataly tic c onv erter as s embly c ell c an now res pond to an order for a batc h of c ataly tic c onv erters in one hour. The s afety s toc k remains at 12.5 perc ent. How many k anban c ards are needed? (Round up your answer to the next whole num ber.) Number of k anban c ard s ets 5 Worksheet Learning Objective: 14­02 Illustrate how lean concepts can be applied to supply chain processes. Problem 14­14 Problem 14-14 Meritor is s o pleas ed with the outc ome from prev ious s ugges tions that the c ons ultants are inv ited bac k for more work . The c ons ultants now s ugges t a more c omplete robotic automation of the mak ing of muffler as s emblies and als o a reduc tion in c ontainer s iz e to ten per c ontainer. Meritor implements thes e s ugges tions and the res ult is that the muffler as s embly fabric ation c ell now av erages approx imately 36 as s emblies per hour, and the c ataly tic c onv erter as s embly c ell c an now res pond to an order for a batc h of c ataly tic c onv erters in one hour. The s afety s toc k remains at...
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This note was uploaded on 01/29/2014 for the course MAN 4504 taught by Professor Georgekyparisis during the Fall '09 term at FIU.

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