{"id":4282,"date":"2021-02-17T17:07:41","date_gmt":"2021-02-17T17:07:41","guid":{"rendered":"http:\/\/141.23.68.248\/wp\/?page_id=4282"},"modified":"2021-02-25T00:41:08","modified_gmt":"2021-02-25T00:41:08","slug":"6-results","status":"publish","type":"page","link":"http:\/\/141.23.68.248\/wp\/?page_id=4282","title":{"rendered":"5. Interpretations and Decision making"},"content":{"rendered":"<p><strong>Interpretations<\/strong><\/p>\n<p style=\"text-align: justify;\">Resulting from the<a title=\"Multi-Objective Optimization\" href=\"http:\/\/141.23.68.248\/wp\/?page_id=4280\"> Multi-Objective Optimization<\/a>, different options vary throughout the different factors, which makes the process of decision making more complicated. In order to get a better overview of the situation,\u00a0a closer look at the single characteristics of each solution will be provided before generalizing the observations.<\/p>\n<p><span style=\"text-decoration: underline;\">1-Energy consumption<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7268  aligncenter\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot-1024x948.png\" alt=\"Fig 5.1 : energy_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot-740x685.png 740w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/energy_Barplot.png 1078w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><\/p>\n<p style=\"text-align: center;\"><span style=\"text-decoration: underline;\"><em>\u00a0Fig 5.1 : Energy_barplot<\/em><\/span><\/p>\n<p style=\"text-align: justify;\">Fig.5.1 shows, that options 1, 4 and 6 are the less energy consuming solutions by consuming 27629947.9 kJ while option 5 with a consumption of about 28084155.5 KJ is higher. Option 5 represents the option with the highest amount of energy consumption.<\/p>\n<hr \/>\n<p><span style=\"text-decoration: underline;\"><em>2-CO<sub>2<\/sub>, SO<sub>2<\/sub> and NO<sub>X<\/sub> emissions<\/em><\/span><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7278 aligncenter\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot.png\" alt=\"co2_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/CO2_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7281 aligncenter\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot.png\" alt=\"so2_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/SO2_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><\/p>\n<figure id=\"attachment_7283\" aria-describedby=\"caption-attachment-7283\" style=\"width: 501px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7283\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot.png\" alt=\"nox_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/NOx_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><figcaption id=\"caption-attachment-7283\" class=\"wp-caption-text\"><span style=\"text-decoration: underline;\"><em>Fig 5.2 : CO2, SO2 xand ,NO Barplots<\/em><\/span><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p><em>\u00a0\u00a0<\/em><\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">Fig.5.2 displays, that options 1, 4 and 6 with values of 33889.55 kg, 3532.01 kg and 15305.79 kg for CO<sub>2<\/sub>, SO<sub>2<\/sub> and NO<sub>X<\/sub> are the less greenhouse gases emitting solutions while again option 5 emits the highest values.<\/p>\n<hr \/>\n<p><span style=\"text-decoration: underline;\"><em>3-Time factors<\/em><\/span><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7306 aligncenter\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot.png\" alt=\"interval_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/interval_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><\/p>\n<figure id=\"attachment_7305\" aria-describedby=\"caption-attachment-7305\" style=\"width: 501px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7305\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot.png\" alt=\"duration_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Duration_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><figcaption id=\"caption-attachment-7305\" class=\"wp-caption-text\"><span style=\"text-decoration: underline;\"><em> Fig 5.3 : Duration and time interval Barplots<\/em><\/span><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">Fig.5.3\u00a0reveals that options 3 and 9 involve less maintenance days during the life cycle (48.75 days) while option 4 has the highest number of maintenance days. On the other hand, options 4, 5, 7 and 11 have the greatest time intervals between the maintenance actions with 9 years while the other options amount about 6 years.<\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\"><em>4-Economic factors<\/em><\/span><\/p>\n<figure id=\"attachment_7308\" aria-describedby=\"caption-attachment-7308\" style=\"width: 501px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7308\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot.png\" alt=\"cost_barplot\" width=\"501\" height=\"464\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Cost_Barplot-740x685.png 740w\" sizes=\"auto, (max-width: 501px) 100vw, 501px\" \/><\/a><figcaption id=\"caption-attachment-7308\" class=\"wp-caption-text\"><span style=\"text-decoration: underline;\"><em>Fig 5.4 Cost Barplot<\/em><\/span><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify;\">According to Fig.5.4 Options 1, 4 and 6 turn to be more economical involving 5 360 825 Euros for the whole life cycle, while option 5 is the most expensive with nearly the double costs of 10 019 663 Euros.<\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<p>All evaluation\u00a0factors are summarized in the table below:<\/p>\n<figure id=\"attachment_7315\" aria-describedby=\"caption-attachment-7315\" style=\"width: 1076px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-7315 size-full\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2.png\" alt=\"v4-2\" width=\"1076\" height=\"696\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2.png 1076w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2-300x194.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2-1024x662.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2-520x336.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/v4-2-740x479.png 740w\" sizes=\"auto, (max-width: 1076px) 100vw, 1076px\" \/><\/a><figcaption id=\"caption-attachment-7315\" class=\"wp-caption-text\"><span style=\"text-decoration: underline;\"><em>Table 5.1 : Solutions<\/em><\/span><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>NB:<\/strong><\/span> From the table it can be noticed that the following group of solutions are identical.<\/p>\n<ul>\n<li>1 and 6<\/li>\n<li>2,8,10 and 12<\/li>\n<li>3 and 9<\/li>\n<li>7 and 11<\/li>\n<\/ul>\n<p>Although, all options have different input sets of values, the same outputs can still be obtained through different paths. Therefore, the outputs are flexible, meaning that the more the options with the same outputs are, the greater is the flexibility of these outputs. Thus the optimization can be easier run.<\/p>\n<hr \/>\n<p><strong>Decision Making<\/strong><\/p>\n<p style=\"text-align: justify;\">The importance of each factor being determined by stakeholders and not designers, induces the distribution of equal weights to the evaluation factors here. So, each factor was rated as a percentage on a scale with reference to the highest value in its column. It resulted to two equations<\/p>\n<p style=\"text-align: center;\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Formulaaaa.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-7610\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Formulaaaa.jpg\" alt=\"formulaaaa\" width=\"714\" height=\"358\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Formulaaaa.jpg 714w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Formulaaaa-300x150.jpg 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/Formulaaaa-520x261.jpg 520w\" sizes=\"auto, (max-width: 714px) 100vw, 714px\" \/><\/a><\/p>\n<p>(1) applies to the distance between the interventions, because the higher the value is, the better the maintenance startegy. While\u00a0 (2) applies to factors like the greenhouse gases, the costs, duration and energy. For these the option with the lowest percentage actually reweals the best values for the maintenance strategy.<\/p>\n<p>The graph below shows the ratings of the different options concerning different evaluation factors.<\/p>\n<figure id=\"attachment_7319\" aria-describedby=\"caption-attachment-7319\" style=\"width: 816px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating.png\"><img loading=\"lazy\" decoding=\"async\" class=\"  wp-image-7319\" src=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating.png\" alt=\"rating\" width=\"816\" height=\"755\" srcset=\"http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating.png 1078w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating-300x278.png 300w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating-1024x948.png 1024w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating-520x481.png 520w, http:\/\/141.23.68.248\/wp\/wp-content\/uploads\/2021\/02\/rating-740x685.png 740w\" sizes=\"auto, (max-width: 816px) 100vw, 816px\" \/><\/a><figcaption id=\"caption-attachment-7319\" class=\"wp-caption-text\"><em><span style=\"text-decoration: underline;\">Fig 5.5 : Rating plot<\/span><\/em><\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p><span style=\"text-decoration: underline;\"><strong>NB:<\/strong><\/span><\/p>\n<ul>\n<li>Some lines are not visible because the options are identical.<\/li>\n<li>A Multiple-Criteria Decision Model (MCDM) like\u00a0AHP and TOPSIS could be conducted in case the stakeholders agree on the weighs of the factors.<\/li>\n<\/ul>\n<hr \/>\n<p>&nbsp;<\/p>\n<p style=\"text-align: left;\"><span style=\"text-decoration: underline;\"><strong>Page Navigation<\/strong><\/span><\/p>\n<p style=\"text-align: left;\"><a href=\"http:\/\/141.23.68.248\/wp\/?page_id=4272\">1. Integration Context<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"http:\/\/141.23.68.248\/wp\/?page_id=4276\">2. Maintenance Strategy\u00a0<\/a><\/p>\n<p><a href=\"http:\/\/141.23.68.248\/wp\/?page_id=4278\">3. Life-Cycle Inventory Analysis<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"http:\/\/141.23.68.248\/wp\/?page_id=4280\">4. Multi-Objective Optimization<\/a><\/p>\n<p style=\"text-align: left;\"><a href=\"http:\/\/141.23.68.248\/wp\/?page_id=4282\">5. Interpretations and Decision making<\/a><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Interpretations Resulting from the Multi-Objective Optimization, different options vary throughout the different factors, which makes the process of decision making more complicated. In order to get a better overview of the situation,\u00a0a closer look at<a class=\"read-more\" href=\"http:\/\/141.23.68.248\/wp\/?page_id=4282\">Continue reading<\/a><\/p>\n","protected":false},"author":72,"featured_media":0,"parent":4115,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"page-templates\/page_fullwidth.php","meta":{"footnotes":""},"class_list":["post-4282","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/4282","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4282"}],"version-history":[{"count":17,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/4282\/revisions"}],"predecessor-version":[{"id":7630,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/4282\/revisions\/7630"}],"up":[{"embeddable":true,"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=\/wp\/v2\/pages\/4115"}],"wp:attachment":[{"href":"http:\/\/141.23.68.248\/wp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}