Facing　fierce　market　competitions　and　fast　technological　transformation,　manufacturing　enterprises　eagerly　aspire　to　cut　down　investments　in　non-core　businesses　with　the　low　return　such　as　logistics,　warehousing,　and　machine　maintenance.　In　the　context　of　service-oriented　manufacturing　(SOM),　these　non-core　businesses　are　expected　to　be　undertaken　by　third-party　service　providers　in　a　centralized　product　+　service　manner.　Supported　by　SOM　principles,　public　warehousing　product-service　system　(PW-PSS)　is　defined　as　integration　of　public　warehouses　and　related　warehousing　services　(e.g.,　raw　material　purchasing,　work-in-progress　storing/sorting/monitoring,　and　finished　products　packaging/distribution)　for　different　manufacturing　enterprises　in　an　industrial　park　(IP).　PW-PSS　especially　benefits　for　small-　and　medium-sized　enterprises　(SMEs)　who　are　suffering　from　a　heavy　investment　and　management　burden　of　self-built　warehouses.　To　well　operate　the　PW-PSS,　third-party　service　providers　must　improve　the　service　satisfaction　degree　of　customers　(i.e.,　manufacturing　enterprises)　to　attract　their　continuous　cooperation.　This　paper　proposes　a　service　satisfaction　evaluation　(SSE)　method　considering　customer　preferences　to　ensure　the　PW-PSS　solutions　more　reliable　and　reasonable.　First,　the　standard　impact　loss　method　is　adopted　to　determine　the　initial　weights　of　SSE　indexes,　and　then　the　Kano　model　is　used　to　adjust　the　above　weights　based　on　the　consideration　of　customer　preferences.　Second,　according　to　whether　an　SSE　index　is　profit-oriented　or　cost-oriented,　a　positive　or　negative　distance　is　obtained　based　on　a　distance　average　solution　method.　Finally,　an　example　is　given　to　verify　the　proposed　method.　It　is　expected　that　SSE　can　provide　a　decision-making　basis　for　SMEs　in　an　IP　to　choose　optimal　PW-PSS　solutions.