000 | 01755nam a2200217Ia 4500 | ||
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003 | NULRC | ||
005 | 20250725162605.0 | ||
008 | 250725s9999 xx 000 0 und d | ||
040 | _clcc | ||
050 | _aUGT CCIT BSCS .A48 2013 | ||
100 |
_aAltamira, Arnella S. _eauthor |
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245 | 0 |
_aMusT: _bThe product location mapping using travelling salesman algorithm / _cArnella S. Altamira, Junabelle T. Bernasor and Ivy L. Daynos |
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260 |
_aManila : _bNational University, _c2013 |
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300 |
_a68 leaves : _billustrations ; _c28 cm. |
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500 | _aResearch Method : Descriptive Method. | ||
504 | _aIncludes bibliographical references. | ||
505 | _aTitle page -- Approval Sheet -- Table of contents -- List of tables -- List of figures -- Chapter 1. Introduction -- Chapter 2. Review of related literature and studies -- Chapter 3. Methodology -- Chapter 4. System Presentation -- Chapter 5. Design implementation -- Bibliography -- Appendices. | ||
520 | _aIn an industry with a traditional high rate of turnover, a growing use of part time help and thousands items in big stores, its little wonder that a fairly significant number of shoppers get irritated when they can't what they came in to buy or can't find a store employee who knows either. At the very least, they have a shopping experience, at worst, they not only leave without buying, but head directly to the competitors. A happens all the time. In fact, consumer studies indicate that the inability to find what they're looking for is the major frustrations among shoppers today, and nearly two-thirds said problems like these caused t stop shopping or to shop less frequently at a store. | ||
700 |
_aBernasor, Junabelle T. ;Daynos, Ivy L. _eco-author;co-author |
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942 |
_2lcc _cTHESIS |
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999 |
_c23717 _d23717 |