Sabino de gisi   iwa - girona 2010
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Sabino de gisi iwa - girona 2010 Presentation Transcript

  • 1. A multicriteria technique foroptimizing the management of personnel of small wastewater treatment plants Giovanni De Feo 1 , Sabino De Gisi 1, Maurizio Galasso 2 1 Department of Civil Engineering, University of Salerno, Italy 2 Bierrechimica S.r.l., Fisciano (SA), Settore Ricerca e Sviluppo
  • 2. FrameworkIntroductionGoalsThe wastewater treatment plants under studyMaterials & MethodsResults & DiscussionConclusionsActivity in ProgressReferences Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 3. Introduction
  • 4. IntroductionManaging wastewater treatment plants involves both operation andmaintenance costs (O&M);The operation costs include such items as personnel, energy (typically,electrical energy), fuel, chemicals and sludge disposal;The maintenance costs are typically divided into ordinary maintenance(grass and vegetation cutting, machinery greasing, periodical painting,etc.) and extraordinary maintenance costs (replacement of machineryor machinery parts, fundamental interventions on parts of the plant,general reconstruction of masonry structures, etc.); Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 5. IntroductionThe adoption of small-scale treatment becomes economically attractive if thecommunities to serve are far away (decentralized systems);While, one of the main problems of small wastewater treatment plants (SWWTPs)is the non-existence of a qualified operator as well as the non-existence of thefunds to operate and maintain the plants (Sarikaya et al., 2003);In order to solve the operational problems of SWWTPs, generally it is proposedthe joint operation of several plants in the same region by the same contractor orcompany. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 6. IntroductionMoreover, Wilderer and Schreff (2000) suggested that closecollaboration between university researchers and industrial designers,manufacturers and marketing people is necessary in order to keepresearch and development of novel wastewater treatment methods inline with the actual field requirements;As a matter of fact, the present study is the result of a closecollaboration between university researchers and a water andwastewater management company (Alto Calore Servizi S.p.A.) thatmanage several SWWTPs in the same region in Southern Italy. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 7. GoalsThe aim of the proposed research was to define and apply asimple multicriteria technique useful for the optimization ofthe management (and, obviously, costs) of personnel ofSWWTPs. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 8. The wastewater treatment plants under study
  • 9. Materials & Methods SediAlto Calore Servizi S.p.A.Alto Calore Servizi S.p.A. (ACS) is a public limited companyconstituted of 127 Municipalities from the Districts of Avellino andBenevento, in the Campania region in Southern Italy. ACS worksin the sectors of drinking water supplies, sewerage systems andwastewater treatment plants (Alto Calore Servizi, 2009). (Sito Web ACS, 2009) Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 10. Materials & MethodsSome informationsThis study involved 16municipalities and 31WWTPs correspondingto an equivalentpopulation (PE) ofapproximately 36000.While, 350, 2250 and7000 inhabitants are theminimum, medium andmaximum values of PEserved, respectively.1, 1.9 and 5 are theminimum, medium andmaximum numbers ofplants managed for eachmunicipality, i Municipalityrespectively. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 11. Materials & MethodsAs shown, the WWTPs under study are based on a flow chart without primary settlingand with prolonged aeration. Inlet Wastewater Secondary Settling Tank Drying Bar Screens Disinfection Underflow to Plant Influent Grit Chamber Effluent Dewatered Biosolids Flow to Disposal Denitrification Return Activated Sludge Oxidation / Nitrification Tank Secondary Activated Sludge Flow chart of the WWTPs under study Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 12. Materials & MethodsCastelvetere sul Calore WWTPs under studyMontella Stratola Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 13. Materials & MethodsMontella Baruso WWTPs under studyNusco Ponteromito Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 14. Materials & MethodsCassano Irpino WWTPs under studyFlumeri località Murge Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 15. Materials & MethodsCastel San Giorgio WWTPs under studyMelito Irpino PEEP Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 16. Materials & MethodsMelito Irpino WWTPs under studyPietrastornina località Furno Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 17. Materials and Methods
  • 18. Materials & Methods Construction of the Personnel Absolute Matrix (PAM)Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM )Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) Modification of the PELM and construction of the (PELM ) Modification of the PLALM and construction of the (PLALM ) Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Flow chart of the proposed procedure Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 19. Materials & Methods 1 Construction of the Personnel Absolute Matrix (PAM) Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM )Equivalent population Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) 2 Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM ) Number of plants Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) 3 Calculation of the medium personnel load index (PLI m ) Modification of the PELM and construction of the (PELM ) Modification of the PLALM and construction of the (PLALM ) Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Flow chart of the proposed procedure Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 20. Materials & Methods 1 Construction of the Personnel Absolute Matrix (PAM) Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) 2 Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM ) Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) 3 Calculation of the medium personnel load index (PLI m )Characterization of the Modification of the PELM and construction of the (PELM )starting (not modified) scenario Modification of the PLALM and construction of the (PLALM ) Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Flow chart of the proposed procedure Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 21. Materials & Methods N. Municipality Plants PE Manager Assistant Laboratory Executive The value 0.2000 for 1 Bonito 1 1800 0.2000 0.0440 0.0050 0.0040 the manager of the 2 Buonalbergo 3 3000 0.2500 0.1320 0.0160 0.0120 municipality n. 1 3 Castelvetere 1 1000 0.2000 0.0495 0.0050 0.0045 means that he spends 20% of hisTable 1. Numbers of plants, PE, manager personnel, assistant personnel, laboratory personnel and executive personnel working time in thefor each municipality involved in the study (Personnel Absolute Matrix, PAM). WWTP[1] The first step of the procedure is to construct a personnel absolute matrix (PAM) with 6 columns (Plants, PE, Manager, Assistant, Laboratory, Executive) and as many rows as the number of municipalities (16 in this case). N. Municipality Plants PE Manager Assistant Laboratory Executive 1 Bonito 1 1800 0.2000 0.0440 0.0050 0.0040 2 Buonalbergo 3 3000 0.2500 0.1320 0.0160 0.0120 3 Castelvetere 1 1000 0.2000 0.0495 0.0050 0.0045 A number between 0 and 1 has to 4 Flumeri 3 1520 0.4000 0.0880 0.0090 0.0080 be specified for each of them. If 5 Frigento 5 1880 0.6000 0.1320 0.0140 0.0120 6 Lioni 1 5000 0.4000 0.2200 0.0230 0.0200 the number is “0”, this means 7 Melito Irpino 2 1100 0.3000 0.0660 0.0070 0.0060 that the personnel unit does not 8 Monteforte Irpino 1 2300 0.0500 0.0660 0.0070 0.0060 work for the considered 9 Montella 1 7000 0.8000 0.1870 0.0200 0.0170 10 Montemiletto 1 3500 0.0500 0.0990 0.0100 0.0090 municipality. On the contrary, if 11 Ospedaletto 1 1000 0.0500 0.0330 0.0040 0.0030 the number is “1”, this means 12 Pietrastornina 4 1725 0.2000 0.0660 0.0080 0.0060 that the personnel unit works all 13 Salza Irpina 1 350 0.0800 0.0099 0.0010 0.0009 14 Sturno 1 2600 0.2000 0.0990 0.0100 0.0090 the time (in a year) for the 15 Summonte 2 900 0.1500 0.0550 0.0060 0.0050 considered municipality. 16 Trevico 3 1320 0.4000 0.0660 0.0070 0.0060 Average 1.9 2250 0.2706 0.0883 0.0095 0.0080 Min 1 350 0.0500 0.0099 0.0010 0.0009 Max 5 7000 0.8000 0.2200 0.0230 0.0200 Total 31 35995 4.33 1.4124 0.152 0.1284 Input Data Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 22. Materials & Methods[2] The second step consists of dividing the PE of each municipality by the corresponding values assigned to the four kinds of personnel units, thus obtaining a PE Load Matrix (PELM). N. Municipality Plants PE Manager Assistant Laboratory Executive 1 Bonito 1 1800 0.2000 0.0440 0.0050 0.0040 2 Buonalbergo 3 3000 0.2500 0.1320 0.0160 0.0120 Table 1. Numbers of plants, PE, manager personnel, assistant personnel, laboratory personnel and executive personnel for each municipality involved in the study (Personnel Absolute Matrix, PAM). N. Municipality PE PE/Manager PE/Assistant PE/Laboratory PE/Executive 1 Bonito 1800 9000 40909 360000 450000 2 Buonalbergo 3000 12000 22727 187500 250000 3 Castelvetere 1000 5000 20202 200000 222222Table 2. PE Load Matrix (PELM). PE N. Municipality PE PE/Manager PE/Assistant PE/Laboratory PE/Executive Kind of personnel 1 Bonito 1800 9000 40909 360000 450000 2 Buonalbergo 3000 12000 22727 187500 250000 3 Castelvetere 1000 5000 20202 200000 222222 4 Flumeri 1520 3800 17273 168889 190000 5 Frigento 1880 3133 14242 134286 156667 6 Lioni 5000 12500 22727 217391 250000 7 Melito Irpino 1100 3667 16667 157143 183333 8 Monteforte Irpino 2300 46000 34848 328571 383333 9 Montella 7000 8750 37433 350000 411765 10 Montemiletto 3500 70000 35354 350000 388889 Table 2. PE Load Matrix (PELM). 11 Ospedaletto 1000 20000 30303 250000 333333 12 Pietrastornina 1725 8625 26136 215625 287500 13 Salza Irpina 350 4375 35354 350000 388889 14 Sturno 2600 13000 26263 260000 288889 15 Summonte 900 6000 16364 150000 180000 16 Trevico 1320 3300 20000 188571 220000 Average 2250 14322 26050 241749 286551 Min 350 3133 14242 134286 156667 Max 7000 70000 40909 360000 450000 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 23. Materials & Methods[3] The third step is to normalize the PELM as well as calculate the Personnel Load Index 1 (PLI1).N. Municipality PE PE/Manager PE/Assistant PE/Laboratory PE/Executive PLI15 Frigento 1880 -0.17 -0.44 -0.48 -0.44 -1.53 The PLI1 for the15 Summonte 900 -0.12 -0.36 -0.41 -0.36 -1.26 municipality number “i”7 Melito Irpino 1100 -0.16 -0.35 -0.37 -0.35 -1.24 (PLI1,i) is obtained by10 Montemiletto 3500 0.83 0.35 0.48 0.35 2.01 adding up the valuesAverage 2250 0.00 0.00 0.00 0.00 0.00 corresponding to the fourMin 350 -0.17 -0.44 -0.48 -0.44 -1.53 personnel units taken intoMax 7000 0.83 0.56 0.52 0.56 2.01 account Table 3. Normalized PELM and calculation of the Personnel Load Index 1 (PLI1). 4 PLI1 = ∑ xi x−µ x= i =1 max− min The PLI1 indicates the personnel load in terms of equivalent polulation managed (PE). The lowest values indicate the municipalities where the personnel do not work enough in terms of PE managed. On the other hand, the highest values indicate the municipalities where the personnel work too much (compared to the other municipalities). Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 24. Materials & Methods[4] The fourth step consists of dividing the number of plants of each municipality by the corresponding values assigned to the four kinds of personnel units, thus obtaining a Plants Load Matrix (PLALM). N. Municipality Plants PE Manager Assistant Laboratory Executive 1 Bonito 1 1800 0.2000 0.0440 0.0050 0.0040 Table 1. Numbers of plants, PE, manager2personnel, assistant personnel, laboratory personnel and executive personnel for each municipality involved in Buonalbergo 3 3000 0.2500 0.1320 0.0160 0.0120 the study (Personnel Absolute Matrix, PAM). N. Municipality Plants Plants/Manager Plants/Assistant Plants/Laboratory Plants/Executive 1 Bonito 1 5.0 22.7 200.0 250.0 2 Buonalbergo 3 12.0 22.7 187.5 250.0 3 4. Plants Load Matrix (PLALM). Table Castelvetere 1 5.0 20.2 200.0 222.2 Number of plants N. Municipality Plants Plants/Manager Plants/Assistant Plants/Laboratory Plants/Executive 1 Bonito 1 5.0 22.7 200.0 250.0 Kind of personnel 2 Buonalbergo 3 12.0 22.7 187.5 250.0 3 Castelvetere 1 5.0 20.2 200.0 222.2 4 Flumeri 3 7.5 34.1 333.3 375.0 5 Frigento 5 8.3 37.9 357.1 416.7 6 Lioni 1 2.5 4.5 43.5 50.0 7 Melito Irpino 2 6.7 30.3 285.7 333.3 8 Monteforte Irpino 1 20.0 15.2 142.9 166.7 9 Montella 1 1.3 5.3 50.0 58.8 10 Montemiletto 1 20.0 10.1 100.0 111.1 11 Ospedaletto 1 20.0 30.3 250.0 333.3 12 Pietrastornina 4 20.0 60.6 500.0 666.7 13 Salza Irpina 1 12.5 101.0 1000.0 1111.1 14 Sturno 1 5.0 10.1 100.0 111.1 15 Summonte 2 13.3 36.4 333.3 400.0 16 Trevico 3 7.5 45.5 428.6 500.0 Average 1.9 10.4 30.4 282.0 334.8 Min 1.0 1.3 4.5 43.5 50.0 Table 4. Plants Load Matrix (PLALM). Max 5.0 20.0 101.0 1000.0 1111.1 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 25. Materials & Methods[5] The fifth step is to normalize the PLALM as well as calculate the Personnel Load Index 2 (PLI2).N. Municipality Plants Plants/Manager Plants/Assistant Plants/Laboratory Plants/Executive PLI29 Montella 1 -0.49 -0.26 -0.24 -0.26 -1.25 The PLI2 is obtained6 Lioni 1 -0.42 -0.27 -0.25 -0.27 -1.21 by adding up the14 Sturno 1 -0.29 -0.21 -0.19 -0.21 -0.90 values corresponding 13 Salza Irpina 1 0.11 0.73 0.75 0.73 2.33 to the four personnel Average 1.9 0.00 0.00 0.00 0.00 0.00 units taken into Min 1.0 -0.49 -0.27 -0.25 -0.27 -1.25 account. Max 5.0 0.51 0.73 0.75 0.73 2.33Table 5. Normalized PLALM and calculation of the Personnel Load Index 2 (PLI2). 4 x−µ PLI 2 = ∑ xi x= i =1 max− min The PLI2 indicates the personnel load in terms of number of plants managed. The lowest values therefore indicate the municipalities where the personnel do not work enough in terms of number of plants managed. The highest values indicate the municipalities where the personnel work too much (compared to the other municipalities). Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 26. Materials & Methods[6] The sixth step is to calculate for each municipality the medium Personnel Load Index (PLIm) obtained by taking the average values of the corresponding PLI1 and PLI2. The municipality can be listed in an increasing order in terms of PLIm,i. N. Municipality P.E. Plants PLI1 PLI2 PLIm PLI 1 + PLI 2 7 Lioni 5000 1 -0.38 -1.21 -0.80 PLI m = 8 Melito Irpino 1100 2 -1.24 -0.20 -0.72 2 6 Frigento 1880 5 -1.53 0.12 -0.70Table 6. Calculation of the medium Personnel Load Index (PLIm). The PLIm indicates the average personnel load in terms of equivalent population and number of plants managed. The lowest values therefore indicate the municipalities where the personnel do not work enough. The highest values indicate the municipalities where the personnel work too much (compared to the other municipalities). Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 27. Materials & Methods Construction of the Personnel Absolute Matrix (PAM)The seventh step of the procedure consists of Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM )modifying the PELM (called PELM’) bysubstituting the values Load Matrix and calucation of the PLI Normalization of the PE in the four columns 1 Elaboration of the Personnel Absolute Matrix (PAM )greater than the medium plus standarddeviation (µ+σ) and lesser than the mediumminus standard deviation Load Matrix (PLALM) Construction of the Plants (µ−σ) with the Construction of the Plants Load Matrix (PLALM )corresponding values of (µ+σ) and (µ−σ),respectively.Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) [7] Modification of the PELM and construction of the (PELM ) Modification of the PLALM and construction of the (PLALM ) Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 28. Materials & Methods Construction of the Personnel Absolute Matrix (PAM)Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) [8] Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM )Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) The eighth step is to obtain a first Modification of the PELM and construction of the (PELM ) modification of the PAM (called PAM’) by changing the values of its elements in line Modification of the PLALM and construction of the (PLALM ) with the PELM’. Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 29. Materials & Methods Construction of the Personnel Absolute Matrix (PAM) Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM ) Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) The ninth step of the procedure consists of Modification of the PELM and construction of the (PELM ) modifying the PLALM (called PLALM’) by substituting the values in the four columns[9] Modification of the PLALM and construction of the (PLALM ) greater than the medium plus standard deviation (µ+σ) and lesser than the medium Elaboration of the Personnel Absolute Matrix (PAM 2) minus standard deviation (µ−σ) with the corresponding values of (µ+σ) and (µ−σ), Calcolation of the averege Personnel Load Index (PLI m) 2 respectively. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 30. Materials & Methods Construction of the Personnel Absolute Matrix (PAM)Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM )Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) [10] Calculation of the medium personnel load index (PLI m ) The tenth step is to obtain a second Modification of the PELM and construction of the (PELM ) modification of the PAM (called PAM’’) by changing the values of its elements in line Modification of the PLALM and construction of the (PLALM ) with the PLALM’. Elaboration of the Personnel Absolute Matrix (PAM 2) Calcolation of the averege Personnel Load Index (PLI m) 2 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 31. Materials & Methods Construction of the Personnel Absolute Matrix (PAM) Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM ) Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) The eleventh step is to obtain a new PAM Modification of the PELM and construction of the (PELM ) (called PAM2) as the medium of PAM’ and PAM’’. The values of PAM2 can be used in Modification of the PLALM and construction of the (PLALM ) case to modify the time that each personnel unit spends on the management of the[11] Elaboration of the Personnel Absolute Matrix (PAM 2) plants of the considered municipality. Calcolation of the averege Personnel Load Index (PLI m) 2 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 32. Materials & Methods Construction of the Personnel Absolute Matrix (PAM) Construction of the PE (population equivalent) Load Matrix (PELM) Construction of the PE (population equivalent) Load Matrix (PELM ) Normalization of the PE Load Matrix and calucation of the PLI 1 Elaboration of the Personnel Absolute Matrix (PAM ) Construction of the Plants Load Matrix (PLALM) Construction of the Plants Load Matrix (PLALM ) Normalization of the Plants Load Matrix and calucation of the PLI 2 Elaboration of the Personnel Absolute Matrix (PAM ) Calculation of the medium personnel load index (PLI m ) The twelfth and last step is to recalculate Modification of the PELM and construction of the (PELM ) the PLIm (called PLIm,2) and compare the new values with those calculated during the Modification of the PLALM and construction of the (PLALM ) step number 6. Elaboration of the Personnel Absolute Matrix (PAM 2)[12] Calcolation of the averege Personnel Load Index (PLI m) 2 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 33. Results and Discussions
  • 34. Results & Discussion Criteria 1 - Equivalent population 2.60 2.40 2.20 2.00 1.80 Work too much + Indice di Carico del Personale 1.60 1.40 1.20 1.00Personnel load index 1 0.80 0.60 0.40 0.20 0.00 -0.20 -0.40 -0.60 -0.80 -1.00 -1.20 -1.40 -1.60 -1.80 -2.00 - Do not work enough -2.20 -2.40 -2.60 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 35. Results & Discussion Criteria 1 - Equivalent population 2.60 2.40 2.20 2.00 1.80 Work too much + Indice di Carico del Personale 1.60 1.40 1.20 1.00Personnel load index 1 0.80 0.60 0.40 0.20 0.00 -0.20 -0.40 -0.60 The municipalities with the -0.80 lowest values of PLI1,i have -1.00 -1.20 more than one plants. While, -1.40 -1.60 -1.80 -2.00 - Do not work enough those municipalities with the highest values of PLI1,i have -2.20 -2.40 only one plant. -2.60 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 36. Results & Discussion Criteria 2 – Number of plants managed 2.60 2.40 2.20 2.00 Work too much +Personnel load del Personale 2 1.80 1.60 1.40 1.20Indice di Carico index 12 1.00 Personnel load index 0.80 0.60 0.40 0.20 0.00 -0.20 -0.40 -0.60 -0.80 -1.00 -1.20 -1.40 -1.60 -1.80 -2.00 - Do not work enough -2.20 -2.40 -2.60 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 37. Results & Discussion Criteria 2 – Number of plants managed 2.60 2.40 2.20 2.00 Work too much +Indice di Carico del Personale 2 1.80 1.60 1.40 1.20 Personnel load index 12 1.00 Personnel load index 0.80 0.60 0.40 0.20 0.00 -0.20 -0.40 -0.60 The municipalities with the lowest values -0.80 -1.00 of PLI2,i have only one plant. While, those -1.20 -1.40 municipalities with the highest values of -1.60 -1.80 -2.00 - Do not work enough PLI2,i have more than one plant, excepted -2.20 municipality number 11 and 13. -2.40 -2.60 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 38. Results & Discussion PLIm Work too much +Average Personnel Load Index - Do not work enough Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 39. Results & Discussion 1.8 1.6 1.4 1.2 1 Work too much + 0.8 0.6P L Im 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 - Do not work enough -1 I ) ) 3) ) ) ) P. ) A A O TO O TO E N (5 (2 (3 (4 (3 (2 N LL ER N IT I( O IR PI ET ET A O TO O O R TE N LI ER TE ET IN U N TE G IC IR BO AL IL N EN PI ST N M R N EV LV M O R A O BE ED R U IR M FO LZ IG TE M TE TO TR FL M AL O SP FR SA N TE AS SU IT AS N O O N EL M O C R O BU M ET M B efore After PI Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 40. Results & Discussion 1.8 1.6 1.4 1.2 1 Work too much + 0.8 0.6 P L Im 0.4 0.2 0 -0.2 -0.4 -0.6 -0.8 - Do not work enough -1The difference between the maximum and minimum greatly decreased passing from PLIm I ) ) 3) ) ) ) P. ) A A O TO O TO E N (5 (2 (3 (4 (3 (2 N LL ER N IT I( O IR PI ET ET A O TO O O R TE N LI ER TE ET IN U N TE G IC IR BO(1.68+0.80=2.48) to PLIm,2 (0,89+0.71=1.50); AL IL N EN PI ST N M R N EV LV M O R A O BE ED R U IR M FO LZ IG TE M TE TO TR FL M AL O SP FR SA N TEThis suggests that the personnel load both in terms of PE and numbers on plants managed are AS SU IT AS N O O N EL M O C R O BU M ET Mdistributed better for the four kinds of personnel units after the application of the procedure PIproposed. B efore After Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 41. Results & DiscussionThe municipalities 7, 10 and 12 represent those where the personnel unit don’t work, incomparison with the municipalities number 9, 11 and 12.This result in obtained both in terms of PE and numbers on plants managed. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 42. Results & Discussion Before 2 8 18 1 5 17 15 11 19 13 6i Plants Manager 1 16i Plants Manager 2 00 4i Plants Manager 3 9 12 14i Plants Manager 4 3i Plants Manager 5 Plants Manager 6 7i 10i Plants Manager 7i Plants Manager 8i Plants Manager 9 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 43. Results & Discussion After 2 8 1 18 5 17 15 11 19 13 6i Plants Manager 1 16i Plants Manager 2i Plants Manager 3 00 4 9 12 14i Plants Manager 4 3i Plants Manager 5i Plants Manager 6 7i Plants Manager 7 10i Plants Manager 8i Plants Manager 9 Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 44. Conclusions
  • 45. ConclusionsThe following general outcomes can be stated: the PE Load Matrix (PELM) is a useful instrument to evaluate the specific work load of the personnel in terms of equivalent population managed; the Plants Load Matrix (PLALM) is a useful instrument to evaluate the specific work load of the personnel in terms of numbers of plants managed; the Personnel Load Index 1 (PLI1) is a useful indicator to compare the specific work load of the personnel in terms of equivalent population managed; the Personnel Load Index 2 (PLI2) is a useful indicator to compare the specific work load of the personnel in terms of number of plants managed; the medium Personnel Load Index 2 (PLIm) is a useful indicator to compare the specific work load of the personnel both in terms of PE and number of plants managed; Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 46. ConclusionsThe following general outcomes can be stated: the proposed procedure was able to redeploy the workforce (plants managers, plants manager assistants, laboratory technicians and executives) both in terms of equivalent population and numbers of plants managed; the procedure is particularly affordable for plants managers and plants manager assistants, while, it is less recommended for laboratory technicians and executives due to the difficulty in evaluating the percentage of the time that they expend for the considered municipality; Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 47. Activity in ProgressThe proposed procedure could be improved adding other criteria estimatingthe work effort in the considered municipality, such as the number ofpumping stations, the number of extraordinary maintenance interventions,etc.; andfinally, adding other criteria it could be useful to introduce a weightingtechnique (and a corresponding sensitivity analysis). Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 48. ReferencesAlto Calore Servizi (2009). Alto Calore Servizi S.p.A. Chi siamo (Who we are).http://www.altocalore.it/chisiamo.asp (accessed 4 november 2009).Bode H. and Grünebaum T. (2000). The cost of municipal sewage treatment – structure, origin,minimization – methods of fair cost comparison and allocation. Water, Science and Technology41(9), 289–298.García J., Mujeriegoa R., Obisb J. M. and Boub J. (2001). Wastewater treatment for smallcommunities in Catalonia (Mediterranean region). Water Policy, 3, 341–350.Masotti L. and Verlicchi P. (2005). Depurazione delle acque di piccole comunità. Tecnichenaturali e tecniche impiantistiche (Treatment of wastewater of small community. Natural andplant-engineering techniques). Hoepli, Milano, Italy.Rowland I. and Strongman R. (2000). Southern Water faces the small works challenge. WaterScience and Technology, 41(1), 33–39.Sarikaya H.Z., Sevimli M.F., Koyuncu I. and Yuksel E.(2003). Joint operation of smallwastewater treatment plants in southern Turkey. Water Science and Technology, 48(11–12), 69–76.Tchobanoglous G., Burton F.L, and Stensel H.D. (2003). Wastewater engineering: treatment andreuse / Metcalf & Eddy, Inc. – 4th ed., McGraw-Hill, New York.Wilderer P.A. and Schreff D. (2000). Decentralized and centralized wastewater management: achallenge for technology developers. Water Science and Technology, 41(1), 1–8. Eng. Sabino De Gisi, Department of Civil Engineering, University of Salerno, Italy
  • 49. Thank you for yourG. De Feo, Sabino De Gisi, M. Galasso attention!University of Salerno (ITALY)Department of Civil Engineering