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Staff Training 4.0.1.5
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Rating:
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Homepage: http://www.enterpriseresourceplanning.biz | ||
| Type: Shareware | Releases: Sep 20, 2010 | ||||
| Cost: $29.00US | Developer: Enterprise resource planning | ||||
| Effective online training project management program restricts unauthorized users to access company travel and trip related records, data by using password protection facility. Easy to use staff training software provides option to produce official tour and visiting pass in simplified ways. Reliable corporate training management system application permits primary user to view and change employee?s tour records and training status in one click. | |||||
file size: 7618k
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Keywords: database, tour, need, ID, name |
Employee Planner Software 4.0.1.5
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Rating:
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Homepage: http://www.smart-accountant.com | ||
| Type: Shareware | Releases: Sep 11, 2009 | ||||
| Cost: $159.00US | Developer: Accounting software | ||||
| Employee shift scheduling software is inexpensive, prominent and profitable tool for all business organizations that can easily maintains shift schedules, day to day attendance records, tour and training details, leave and payroll details of all the employees. Employee planner software generates reports of company details, employee details and minimizes staff planning processes that allows management to concentrate on business goals. | |||||
file size: 4741k
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Keywords: Business, game, leave, scheduling, calendar |
JOpt.SDK - resource and transportation planning l 1.0.1
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Rating:
![]() ![]() ![]() ![]() 5/5 (2 votes) |
Platforms: | Homepage: http://www.dna-evolutions.com | ||
| Type: Demo | Releases: Apr 08, 2006 | ||||
| Cost: $0.00US | Developer: DNA | ||||
| JOpt.SDK is a geographic route scheduling and optimization Java library for automatic resource and transportation planning. It uses specialized genetic algorithms to calculate an optimized allocation of orders and stops to mobile resources. JOpt.SDK can solve problems like TSP (travelling salesman problem) or VRPTW (vehicle routing problem). | |||||
file size: 97k
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Keywords: planning, resource scheduling, optimization, genetic algorithms, problem solving |
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